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Paper Citation Record · LEDGER

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception

As of 17 August 2026, this Paper Citation Record lists 100 of 116 outbound references and 4 inbound Pith citation observations for arXiv:2508.11256.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2508.11256 v1

Coverage vector

measured 100 of 116 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:10:19.724032Z

measured 104 of 104 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T13:42:25.796548Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-29T13:33:28.299770Z

Reference resolution

100 of 116 outbound references displayed

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  • verified fuzzy64
  • unresolved36
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b6e465b7-0a4d-4f1e-99af-92c722ea4481 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Faster r-cnn: Towards real-time object detection with region proposal networks,

Reference 1

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Observation b13cb74d-faf2-41ad-aa96-8b19e342e8fa · outbound

This paper cites DAB-DETR: Dynamic anchor boxes are better queries for DETR,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception DAB-DETR: Dynamic anchor boxes are better queries for DETR,

Reference 2

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Observation a81e8b4b-1baf-4134-a92b-8061e6e25e0a · outbound

This paper cites U-net: Convolutional net- works for biomedical image segmentation,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception U-net: Convolutional net- works for biomedical image segmentation,

Reference 3

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Observation 676ab988-432f-499b-bcb3-7877e37249b7 · outbound

This paper cites Masked-attention mask transformer for universal image segmenta- tion,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Masked-attention mask transformer for universal image segmenta- tion,

Reference 4

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Observation 26dd1416-6cde-424a-8587-73b8f536edc4 · outbound

This paper cites Mask dino: Towards a unified transformer-based framework for object detection and segmentation,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Mask dino: Towards a unified transformer-based framework for object detection and segmentation,

Reference 5

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Observation 3720bf71-4fe1-469c-8eca-f51954994a68 · outbound

This paper cites Enhanced training of query-based object detection via selective query recollection,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Enhanced training of query-based object detection via selective query recollection,

Reference 6

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Observation fee31577-53ec-4b70-972d-1b8c35b02531 · outbound

This paper cites Deformable detr: Deformable transformers for end-to-end object detection,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Deformable detr: Deformable transformers for end-to-end object detection,

Reference 7

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Observation a55b8869-a91b-4a9c-9e25-458a2551f58c · outbound

This paper cites Open-vocabulary object detection using captions,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Open-vocabulary object detection using captions,

Reference 8

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Observation 41ae203e-0c3f-479d-86a3-f58951966f6f · outbound

This paper cites Aligning bag of regions for open-vocabulary object detection,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Aligning bag of regions for open-vocabulary object detection,

Reference 9

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Observation 80667852-540e-44d3-9631-282ed239b717 · outbound

This paper cites Cora: Adapting clip for open- vocabulary detection with region prompting and anchor pre-matching,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Cora: Adapting clip for open- vocabulary detection with region prompting and anchor pre-matching,

Reference 10

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Observation 4b505aa2-f179-4821-b956-5f601838d1c6 · outbound

This paper cites Cat- seg: Cost aggregation for open-vocabulary semantic segmentation,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Cat- seg: Cost aggregation for open-vocabulary semantic segmentation,

Reference 11

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Observation 005594f2-0264-46a5-acf0-9f44c9ce3e10 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Learning transferable visual models from natural language supervi- sion,

Reference 12

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Observation 254a089b-43b8-4ebb-bb04-7832a204a03b · outbound

This paper cites Scaling language- image pre-training via masking,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Scaling language- image pre-training via masking,

Reference 13

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Observation 51e3ac40-5b5c-4e61-b2e7-35fc905e8009 · outbound

This paper cites Clim: Contrastive language-image mosaic for region representation,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Clim: Contrastive language-image mosaic for region representation,

Reference 14

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Observation 3cbf97b9-dfb9-46f1-b7aa-f2fa527463e9 · outbound

This paper cites CLIPSelf: Vision transformer distills itself for open-vocabulary dense prediction,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception CLIPSelf: Vision transformer distills itself for open-vocabulary dense prediction,

Reference 15

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Observation 4ffefd41-6b38-4499-b361-7086adddb965 · outbound

This paper cites Regionclip: Region-based language- image pretraining,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Regionclip: Region-based language- image pretraining,

Reference 16

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Observation d66d7f3c-8cb1-4afd-8f2a-3fd23eae852f · outbound

This paper cites Ov-dquo: Open-vocabulary detr with denoising text query train- ing and open-world unknown objects supervision,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Ov-dquo: Open-vocabulary detr with denoising text query train- ing and open-world unknown objects supervision,

Reference 17

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Observation 92b6f947-9229-436a-9b7a-8db1109c8f04 · outbound

This paper cites Open-vocabulary object de- tection via vision and language knowledge distillation,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Open-vocabulary object de- tection via vision and language knowledge distillation,

Reference 18

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Observation b511101e-e005-4623-89cc-81a6ce653cf9 · outbound

This paper cites F-vlm: Open-vocabulary object detection upon frozen vision and language models,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception F-vlm: Open-vocabulary object detection upon frozen vision and language models,

Reference 19

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Observation 59667dd5-5997-409f-ad3a-25b3c4c980f5 · outbound

This paper cites Open-vocabulary semantic segmentation with mask-adapted clip,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Open-vocabulary semantic segmentation with mask-adapted clip,

Reference 20

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Observation c4ab2810-05bc-487f-9d45-591ebcfe8151 · outbound

This paper cites High-resolution image synthesis with latent diffusion models,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception High-resolution image synthesis with latent diffusion models,

Reference 21

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Observation 3cd92037-2c8a-4627-b85f-0d5216336030 · outbound

This paper cites A survey on open-vocabulary detection and seg- mentation: Past, present, and future,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception A survey on open-vocabulary detection and seg- mentation: Past, present, and future,

Reference 22

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Observation 6ebec5cc-a8ed-426f-8684-035a8e05981c · outbound

This paper cites Towards open vocabulary learning: A survey,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Towards open vocabulary learning: A survey,

Reference 23

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Observation b9605788-1ab7-4438-beb8-d969d2a32bbe · outbound

This paper cites Object-aware distillation pyramid for open-vocabulary object detection,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Object-aware distillation pyramid for open-vocabulary object detection,

Reference 24

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Observation 23979c0f-7801-4bfa-aca1-778effe26441 · outbound

This paper cites Groupvit: Semantic segmentation emerges from text supervision,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Groupvit: Semantic segmentation emerges from text supervision,

Reference 25

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Observation 8a0721e4-2a9c-4870-9444-f119a472b4eb · outbound

This paper cites Scaling open-vocabulary image segmentation with image-level labels,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Scaling open-vocabulary image segmentation with image-level labels,

Reference 26

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Observation b36b47c6-cb06-4053-a69a-b1310328eeb5 · outbound

This paper cites Taming self-training for open-vocabulary object detection,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Taming self-training for open-vocabulary object detection,

Reference 27

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Observation 54c81a43-db65-43fc-9ea9-fe6458e595fe · outbound

This paper cites Detecting twenty-thousand classes using image-level supervision,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Detecting twenty-thousand classes using image-level supervision,

Reference 28

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Observation 87e73afb-085b-43e8-8cb6-617f97ab90ce · outbound

This paper cites Open-vocabulary detr with conditional matching,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Open-vocabulary detr with conditional matching,

Reference 29

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Observation 7933283e-d56e-48c3-8910-4478e6c73780 · outbound

This paper cites Global knowledge calibration for fast open-vocabulary segmentation,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Global knowledge calibration for fast open-vocabulary segmentation,

Reference 30

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Observation 70b6f036-7c3c-46b1-9a72-94c8db72d67a · outbound

This paper cites Densegrounding: Improving dense language- vision semantics for ego-centric 3d visual grounding,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Densegrounding: Improving dense language- vision semantics for ego-centric 3d visual grounding,

Reference 31

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Observation 65466bf6-0e39-45c0-bee0-9607668b5824 · outbound

This paper cites Detect anything 3d in the wild,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Detect anything 3d in the wild,

Reference 32

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Observation 9e3e68d5-8023-4b95-8956-d49f03946f03 · outbound

This paper cites Sam3d: Segment anything in 3d scenes,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Sam3d: Segment anything in 3d scenes,

Reference 33

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Observation a294c18a-4d55-4924-82c5-b2ba4e5da431 · outbound

This paper cites Ovir-3d: Open-vocabulary 3d instance retrieval without training on 3d data,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Ovir-3d: Open-vocabulary 3d instance retrieval without training on 3d data,

Reference 34

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Observation f63594e5-8b8c-45dd-82cd-bcd277462492 · outbound

This paper cites Open- vocabulary object 6d pose estimation,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Open- vocabulary object 6d pose estimation,

Reference 35

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Observation c5725e7e-534b-46ba-b95f-7ec2ef16536b · outbound

This paper cites Open3dis: Open-vocabulary 3d instance segmentation with 2d mask guidance,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Open3dis: Open-vocabulary 3d instance segmentation with 2d mask guidance,

Reference 36

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Observation 97ff88ea-e009-408f-9049-a35ac8abe379 · outbound

This paper cites Openmask3d: Open-vocabulary 3d instance segmenta- tion,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Openmask3d: Open-vocabulary 3d instance segmenta- tion,

Reference 37

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raw_fallback, observed 2026-08-05T20:10:24.104216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:13.444699Z digest=sha256:e2cf7cb1c804017ffe65a2c7d70b0e671f63de9881902a55bcc6bb7df5ac7086

Observation a6081716-0575-49b1-b84c-03f10a955575 · outbound

This paper cites Clip-vis: Adapting clip for open-vocabulary video instance segmentation,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Clip-vis: Adapting clip for open-vocabulary video instance segmentation,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:24.095328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:13.562789Z digest=sha256:732719a4adc6c8001ca96feeb1c2049c6398587014732d82a6a8d228a95965de

Observation ccb798fd-ca9f-45e8-9765-4fb34d4485ae · outbound

This paper cites Semantic and sequential alignment for referring video object segmentation,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Semantic and sequential alignment for referring video object segmentation,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:24.086407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:13.698246Z digest=sha256:a87a881225cc4015bcbb7723ad98cf54736adcf90fcf001099321e78706c7eb9

Observation a6de5595-2620-4bed-8115-fd83c51a5ce7 · outbound

This paper cites Unified embedding align- ment for open-vocabulary video instance segmentation,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Unified embedding align- ment for open-vocabulary video instance segmentation,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:24.076767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:13.776707Z digest=sha256:b3bbeb611180f856e8235341165cf2e24e5b7af166da06d8edd274311729b09f

Observation 58b3e3ad-cc6a-4666-a1a0-406302272a52 · outbound

This paper cites Sigmoid loss for language image pre-training,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Sigmoid loss for language image pre-training,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:24.066746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:13.860179Z digest=sha256:85aaf950f147179ca163b73367eed3f630cd448303f910649ea89703808c37de

Observation a556ba8d-5184-490a-9d16-65668d7f8f84 · outbound

This paper cites Learning mask-aware clip representations for zero-shot segmentation,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Learning mask-aware clip representations for zero-shot segmentation,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:24.057529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:13.940164Z digest=sha256:e6b3f12c22586d82000bcb359b7d687bcdd46fdc1bc4e373baef17d0d91579ed

Observation cadb0cd1-c63c-48b8-be3f-afa148e45b02 · outbound

This paper cites Language-driven semantic segmentation,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Language-driven semantic segmentation,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:24.048518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:14.042602Z digest=sha256:8470d68de949ddd09a8b6033aecca61ba85da4c7d3d5beb51ec0b48644f8dc9c

Observation 65b5c39a-8931-4ff1-bd2b-2c2ff2964766 · outbound

This paper cites Open vocabulary semantic segmentation with patch aligned contrastive learning,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Open vocabulary semantic segmentation with patch aligned contrastive learning,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:24.039381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:14.204613Z digest=sha256:04f550304710d432f3802c070c2aeae2778893e34f93a6ef348681dadb390849

Observation b25a119c-0a21-4bb7-8a81-19d80f4db41c · outbound

This paper cites Sam-clip: Merging vision foundation models towards semantic and spatial under- standing,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Sam-clip: Merging vision foundation models towards semantic and spatial under- standing,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:24.028511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:14.294410Z digest=sha256:022bef4ec116c89d1fcf447384396582054bf46d07c65ab97077dbdb5383874d

Observation c51eff8f-92a3-4ad1-a9d2-80ea322a2df9 · outbound

This paper cites Open- vocabulary sam: Segment and recognize twenty-thousand classes in- teractively,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Open- vocabulary sam: Segment and recognize twenty-thousand classes in- teractively,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:24.018831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:14.362385Z digest=sha256:7f61215e811d1c1df48c18b374f71e90a9fea26077901b1ec36c6c5887bd4902

Observation 61478947-f6cf-4a1a-a6fe-e8d95eb959e3 · outbound

This paper cites Frozenseg: Harmo- nizing frozen foundation models for open-vocabulary segmentation,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Frozenseg: Harmo- nizing frozen foundation models for open-vocabulary segmentation,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:24.009620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation aee0f0a6-dac6-4a7c-94a9-c223bfc651c2 · outbound

This paper cites Segment anything,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Segment anything,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.998121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:14.544984Z digest=sha256:0d0d08ab621edf0ebd88cb4d49cfa338544cf118a800e772054c0a3c2a6144e5

Observation f0d793ae-1c9d-4c32-b3eb-7c4d95387681 · outbound

This paper cites Rep- resentation alignment for generation: Training diffusion transformers is easier than you think,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Rep- resentation alignment for generation: Training diffusion transformers is easier than you think,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.987948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:14.679168Z digest=sha256:94b691745d24dd42011569d03e1df7fdafd09162c97613d6554859b7958e955e

Observation 986b009c-be4d-49bf-b945-6923fd7e86fc · outbound

This paper cites A convnet for the 2020s,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception A convnet for the 2020s,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.976472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:14.803588Z digest=sha256:af59d1787ffefe44cbc0660d58145abeaf1a79a306ed1f0b3f424e63a3b6d501

Observation 6619ccf9-cac6-4c3b-a27e-5dcf43a1f0f7 · outbound

This paper cites Deep residual learning for image recognition,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Deep residual learning for image recognition,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.965878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:14.906924Z digest=sha256:35e10a43b64a26f1b6c8dfe2e9055963ce4fe8b7a65fd5b0151f57fa0411b4bb

Observation 9dac5372-388a-45fd-83ee-fafa1ae2fb26 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.956105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:14.996849Z digest=sha256:6a1c738eaa7996ed400a589bcbab9ca3b4cf9cba0e6da934cb09835e13eefad9

Observation cbe289d1-a07c-4257-b58e-5fff0805e3be · outbound

This paper cites Attention is all you need,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Attention is all you need,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.945286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f708fa24-1712-4b72-a4a0-53afdca8449b · outbound

This paper cites Emerging properties in self-supervised vision transformers,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Emerging properties in self-supervised vision transformers,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.936097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:15.183668Z digest=sha256:53bec7675d41b05cd6b2c6cc72b5f36548b0bb34eb36b11e423dbc319a3e4924

Observation 92be49f7-c9f9-4161-83cc-5667cf040cd3 · outbound

This paper cites Dinov2: Learning robust visual features without supervision,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Dinov2: Learning robust visual features without supervision,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.924042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:15.290363Z digest=sha256:c027d2481df34b19687cd9e3f5f6baf9a3b5aa72f4daf2e981f5abb7110d9fa3

Observation 25aedd9a-1bc6-4701-8e1b-018f207f79f8 · outbound

This paper cites Sam 2: Segment anything in images and videos,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Sam 2: Segment anything in images and videos,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.913865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:15.436149Z digest=sha256:7228270f0d36ced146beda91da7a977310045e900a15dd88f46d2a98001b9bc0

Observation be12a41f-a993-416a-a2ec-6610f7d176a2 · outbound

This paper cites Sclip: Rethinking self-attention for dense vision-language inference,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Sclip: Rethinking self-attention for dense vision-language inference,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.902701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:15.507929Z digest=sha256:fde7245ec1015d2ec49b718fd06f8d42330603b9fb390acb92490d4e18f3b16e

Observation bd6458fc-e7a9-4dc9-bd71-68a633858bc7 · outbound

This paper cites Explore the potential of clip for training-free open vocabulary semantic segmentation,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Explore the potential of clip for training-free open vocabulary semantic segmentation,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.891619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:15.616014Z digest=sha256:a3b6eb545ef1dfce933ae87a0bfbfb4d23478c98d47fdcbba5f384e23dc63166

Observation 5dd4cad7-b9f6-48e7-9757-c62281e5afcd · outbound

This paper cites Clearclip: Decomposing clip representations for dense vision-language inference,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Clearclip: Decomposing clip representations for dense vision-language inference,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.881675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:15.780654Z digest=sha256:fd38c3c2c202317dbe2eb27363b02e3243671bdd0660f486fd1b92e945c55ad7

Observation 4b4c6637-59b2-4460-949b-50c2aaf538e0 · outbound

This paper cites Clip-dinoiser: Teaching clip a few dino tricks,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Clip-dinoiser: Teaching clip a few dino tricks,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.871784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:15.922960Z digest=sha256:e10272849dfc4c984512d006d296ce1c9b380a22a4e2c6469e7c5918e40fa631

Observation 41efa2dc-4218-4e97-864a-f07ff8cdb94b · outbound

This paper cites Diffusion model is secretly a training-free open vocabulary semantic segmenter,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Diffusion model is secretly a training-free open vocabulary semantic segmenter,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.862851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:16.113871Z digest=sha256:86c3f35303deb51d752bc8994e3677f74dc50d30555266b5ed49a6902c1cf126

Observation 2ba01bef-113a-4131-ba3e-c5c23fb7c13a · outbound

This paper cites Dynamic prompt learning: Addressing cross-attention leakage for text-based image editing,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Dynamic prompt learning: Addressing cross-attention leakage for text-based image editing,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.852800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:16.260625Z digest=sha256:16598cc37215ced5d6c7d979460b50b7612a2d01c3fc6206ef1f1fc4241e7e05

Observation 600b1258-c5b5-49a7-8d24-4f7667c938e0 · outbound

This paper cites Cliper: Hierarchically improving spatial representation of clip for open-vocabulary semantic segmentation,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Cliper: Hierarchically improving spatial representation of clip for open-vocabulary semantic segmentation,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.843352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:16.380258Z digest=sha256:7d173a2dde3dc62064dae15e09af6dc500372bf3279e0c9937f17fb12d142580

Observation 2f936345-1d95-44fb-b4dd-c5bcd21ee3b3 · outbound

This paper cites Silc: Improving vision language pretraining with self-distillation,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Silc: Improving vision language pretraining with self-distillation,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.834223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:16.477605Z digest=sha256:a8d1f5b40321cd51b93a4e3050c31b80841bf27b6e31bf7fc7db01d34430e846

Observation 79b85762-b0b9-45ce-8510-9b50eb619c28 · outbound

This paper cites Exploring open-vocabulary semantic segmentation from clip vision encoder distillation only,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Exploring open-vocabulary semantic segmentation from clip vision encoder distillation only,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.824247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:16.681775Z digest=sha256:27a6df20448db66a166feac677180cc502aac6d5ddb6db1829e6551df4413875

Observation d5193b3c-ebda-45e2-bbfb-feada88a460f · outbound

This paper cites Mask r-cnn,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Mask r-cnn,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.814331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:16.782295Z digest=sha256:e8fc6b52a153bec96e143bb78610d1e3ca06871f8a5c27a5ff010549c9e78cb4

Observation 205d5565-0b63-4285-ad22-aede1d0d3094 · outbound

This paper cites Relational knowledge distilla- tion,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Relational knowledge distilla- tion,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.804002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:16.829689Z digest=sha256:4ec62e9b08e49a575f438f82c436fe9f8107791809384dfe4d3019682a412474

Observation 5277c74d-472f-4a68-bc85-9d836843269a · outbound

This paper cites Microsoft coco: Common objects in context,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Microsoft coco: Common objects in context,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.796031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:16.894190Z digest=sha256:cb252d4c0e4623cb9ddc7d06c48616a73bfb453abe696908853f2cbff00d4cf0

Observation 972f6476-b4b4-464e-84df-73550f4a0523 · outbound

This paper cites Decoupled weight decay regularization,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Decoupled weight decay regularization,

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.785855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:16.986846Z digest=sha256:37a573ebafc36cbe05791a17eeabf9759811ee4057d78dfcb932cd9ec763dde4

Observation c5f7be36-a448-4687-b029-a22148928726 · outbound

This paper cites Eva-clip: Improved training techniques for clip at scale,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Eva-clip: Improved training techniques for clip at scale,

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.775193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:17.061374Z digest=sha256:def1da8e9984bfaec424bf3b058c329c5ab3dd958874b4c94a7c56ae1025da60

Observation 49b7510c-7d13-4880-83a3-33a7159b7b58 · outbound

This paper cites Vision transform- ers need registers,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Vision transform- ers need registers,

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.765935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:17.191747Z digest=sha256:605a401050ffe00a824f9c3fed1147a2de7e12db24ac2a7ecef65cac4b86719d

Observation ac1612bb-55dc-4acf-b6c9-47460689030c · outbound

This paper cites Language-grounded indoor 3d semantic segmentation in the wild,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Language-grounded indoor 3d semantic segmentation in the wild,

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.755803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:17.276128Z digest=sha256:a0a730fad39ccb772e994e81f176b3cffd09b17c3a44f5a66b3f90e83675be35

Observation 5275d7da-9d4d-4006-9db1-1ea7e7fc4c0a · outbound

This paper cites Isbnet: a 3d point cloud instance segmentation network with instance-aware sampling and box-aware dynamic convolution,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Isbnet: a 3d point cloud instance segmentation network with instance-aware sampling and box-aware dynamic convolution,

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.746015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:17.352021Z digest=sha256:6d72d7aec4794e595040baa89bb21dbbd1bab060d9e3712558883b5d6fd3d474

Observation 987cc53e-740e-42e2-923e-af661b8ca986 · outbound

This paper cites Mask3d: Mask transformer for 3d semantic instance segmentation,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Mask3d: Mask transformer for 3d semantic instance segmentation,

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.736986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:17.411695Z digest=sha256:9bdf9ff3ce31fbe35da405ca57a8ff74e948b5cab1f1c4bbdd08b1a9cfdfc417

Observation 9e692ed7-6df9-4e5c-81c2-946d6f8602a6 · outbound

This paper cites Openscene: 3d scene understanding with open vocabularies,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Openscene: 3d scene understanding with open vocabularies,

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.729040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:17.473786Z digest=sha256:275262e508f74fb2c9df340a3ddc05d2f22b1c50b5db70dd07f95c4e7081d1da

Observation b2983b14-f286-460e-be1d-1c5dd73729b2 · outbound

This paper cites A density-based algorithm for discovering clusters in large spatial databases with noise,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception A density-based algorithm for discovering clusters in large spatial databases with noise,

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.720545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:17.540970Z digest=sha256:0ef083e459d77dee716f206bf200ed8f5a4c003ced435ea99bbe1beec6301cf8

Observation b13a1cb6-7574-49f7-a680-3c51c19c1489 · outbound

This paper cites Openins3d: Snap and lookup for 3d open-vocabulary instance seg- mentation,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Openins3d: Snap and lookup for 3d open-vocabulary instance seg- mentation,

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.711917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:17.680891Z digest=sha256:e0c2f876bfb3648bd8395dcfbda6cdc2c41ab59a3d4a97cdca90a494cd12fd03

Observation 7de92333-3e91-4dfd-b235-963bf0d22236 · outbound

This paper cites In defense of on- line models for video instance segmentation,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception In defense of on- line models for video instance segmentation,

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.696296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:17.852582Z digest=sha256:e528d56c493a8628ae9021ff1b4507206f98bf8a72f924b87ed94d5f54f13439

Observation 7efe7155-1222-4a61-9e89-ad21db25f6c7 · outbound

This paper cites Simple online and realtime tracking,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Simple online and realtime tracking,

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.688453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:17.953660Z digest=sha256:a6c46a4a8414618e60b4204d8ae0f90f28f0a01d1e9257c287b5ec4a61712c25

Observation f8650d5b-ca4f-4e2c-9d15-bb844a8fbff5 · outbound

This paper cites Opening up open world tracking,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Opening up open world tracking,

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.678693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:18.020767Z digest=sha256:148feeb9059344f18c9858c2dc90e356f6facf11210850890004397f4c3115c7

Observation 1bda6104-ec21-4a83-bebc-6bacaeb08a6f · outbound

This paper cites Xmem: Long-term video object segmentation with an atkinson-shiffrin memory model,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Xmem: Long-term video object segmentation with an atkinson-shiffrin memory model,

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.671067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:18.097949Z digest=sha256:25d5ee634d85c9585a1da31f4ee2bb492cc35a275f3930d51425bb4abf49e8e8

Observation ad7dbb41-7e45-494e-8aa1-47daaebdad62 · outbound

This paper cites Towards open-vocabulary video instance segmentation,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Towards open-vocabulary video instance segmentation,

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.662817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:18.158794Z digest=sha256:080c1a3d3bef56dd77f86360f07f4c9386799f3733355e384497f3cebed14a57

Observation 5e01609f-edcc-41c0-8839-39878b1d24b9 · outbound

This paper cites Video instance segmentation,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Video instance segmentation,

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.704463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:18.232954Z digest=sha256:5f70b4553eecb8f8f12cced1482de857139b001df6b6508a988952420fc792eb

Observation 3c4543e9-4a42-49c0-99cb-81610213c364 · outbound

This paper cites Lvis: A dataset for large vocabulary instance segmentation,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Lvis: A dataset for large vocabulary instance segmentation,

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.654980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:18.300865Z digest=sha256:f3287b90fc890c664641f0fd63ee41e57d46f9d1a43a7fabc2910c8f52c939c8

Observation 33b1d745-9ae6-4fab-91c6-5b7a5caa95db · outbound

This paper cites Occluded video instance segmentation: A benchmark,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Occluded video instance segmentation: A benchmark,

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.647349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:18.362458Z digest=sha256:d23822e4c450d1a4d62da8c6d60e7bb92c262a23f138e97232c541e7db38f8d4

Observation 897b2fb6-e632-4d5f-aed8-d1bf679cb521 · outbound

This paper cites Burst: A benchmark for unifying object recognition, segmentation and tracking in video,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Burst: A benchmark for unifying object recognition, segmentation and tracking in video,

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.638704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:18.428705Z digest=sha256:0982ad4e837e4a9bbe8f95fc6f0bb9386507e7d616695e6ac5e398a067077e06

Observation 6f2340bc-7af9-4092-9e04-cac822a5bb02 · outbound

This paper cites Fs6d: Few-shot 6d pose estimation of novel objects,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Fs6d: Few-shot 6d pose estimation of novel objects,

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.629572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:18.508453Z digest=sha256:5035b75605804aafe435cc5f7bf06dc13fa40c57a91487568266629710a91673

Observation 11d3065d-c56c-43d4-86b7-dc4ee7ebef54 · outbound

This paper cites Semantically-enriched 3d models for common-sense knowledge,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Semantically-enriched 3d models for common-sense knowledge,

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.621276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:18.606981Z digest=sha256:df65555e638341dfad3c9addba1c5cacf118a734a061bab7240836eaaff39c4a

Observation 400933f0-9f5a-40b3-9f94-ab77701c2ef2 · outbound

This paper cites Normalized object coordinate space for category-level 6d object pose and size estimation,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Normalized object coordinate space for category-level 6d object pose and size estimation,

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.612037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:18.686622Z digest=sha256:c63e2493749bc15287cc5becff4a3bc9cdf1f25b65ceb49dc33b107c556e678a

Observation aba4668e-f6a4-421e-9de1-5324e94dbd0f · outbound

This paper cites Bop: Benchmark for 6d object pose estimation,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Bop: Benchmark for 6d object pose estimation,

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.604203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:18.797052Z digest=sha256:d3772a25271215c78d7b56954403e749e528fe4ef2d21eeb74384d453acd9cd9

Observation 15346383-ffe8-4f89-990c-41b4c8cb622e · outbound

This paper cites Bop challenge 2020 on 6d object localization,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Bop challenge 2020 on 6d object localization,

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.596699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:18.894916Z digest=sha256:b364afd992e8b82a43bd0dc6106987ddb8411cdac24484480fb5a4472c065462

Observation 2c6b7203-98e8-47a2-815b-c7245133b94a · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted win- dows,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Swin transformer: Hierarchical vision transformer using shifted win- dows,

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.589444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:18.985082Z digest=sha256:4a6ce12bd5633d737aba0b752b30caca279c62964917d29b0472e5c37c9d131c

Observation 9fbd2366-3de6-43a1-b8b5-861ae8405fb9 · outbound

This paper cites End-to-end object detection with transformers,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception End-to-end object detection with transformers,

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.579542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:19.045927Z digest=sha256:d695144f36f1007a06616d1014f7e98dbc05d7c78b0d2cf29a8a0b8ae5ead765

Observation 40a25b6f-db23-4027-955a-9d5abd0cdeea · outbound

This paper cites Region-aware pretraining for open-vocabulary object detection with vision transformers,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Region-aware pretraining for open-vocabulary object detection with vision transformers,

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.570341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:19.131544Z digest=sha256:3dbc6a45ea322726c7e61c2699946ec6c0ec478e08b5f6fae63c2dba20785445

Observation 2fba74c1-a24c-448e-83bc-cfa1b4c1fc96 · outbound

This paper cites Contrastive feature masking open-vocabulary vision trans- former,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Contrastive feature masking open-vocabulary vision trans- former,

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.562591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:19.218112Z digest=sha256:dcc604bb46b563d2237dd0c9caaa1430ade156e2d01e6b210d4d0321f9fa47f9

Observation 941618b2-67e7-4535-9552-166819674ef0 · outbound

This paper cites A simple baseline for open-vocabulary semantic segmentation with pre-trained vision-language model,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception A simple baseline for open-vocabulary semantic segmentation with pre-trained vision-language model,

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.547138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:19.393386Z digest=sha256:2ecfb697fb1ed31da00ba2046942338a4e5adf05fda95a41fb8bf9fc6e604039

Observation b58ed32b-0a2a-4836-886a-5f7a700fb054 · outbound

This paper cites Side adapter network for open-vocabulary semantic segmentation,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Side adapter network for open-vocabulary semantic segmentation,

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.538678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:19.456741Z digest=sha256:f766b883a147ded9bb5947fecd53511fb92cd358ecae2a5608301ca3967fa0e1

Observation b08179dd-ad6b-48fa-bdd1-4767272c1b8f · outbound

This paper cites Open-vocabulary panoptic segmentation with text-to-image diffusion models,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Open-vocabulary panoptic segmentation with text-to-image diffusion models,

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.528893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:19.565524Z digest=sha256:d077139cb919cf20c63e8801d78e408d006198bfad54b14bd792a044607167a1

Observation d6babb57-d5f7-4925-be5f-4a8e1d18117f · outbound

This paper cites Convolutions die hard: Open-vocabulary segmentation with single frozen convolutional clip,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Convolutions die hard: Open-vocabulary segmentation with single frozen convolutional clip,

Reference 101

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.520963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:19.641618Z digest=sha256:c0fea23407f022a682c9a8501459855262883b94a5f76ed0e57404a5964da63f

Observation 7482feaa-5a78-4153-a5c2-3bf695e44b61 · outbound

This paper cites Extract free dense labels from clip,.

Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception Extract free dense labels from clip,

Reference 102

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:10:23.511695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:10:19.724032Z digest=sha256:a30c0c67060fce7c1d2fab7c1159cb8f3f624532bcd6ed752c698aa1f95e2f1b

Pith citing papers

Observation f308d82d-f00e-4cfe-8560-93a223e5e313 · inbound

Beyond Binary Contrast: Modeling Continuous Skeleton Action Spaces with Transitional Anchors cites this paper.

Beyond Binary Contrast: Modeling Continuous Skeleton Action Spaces with Transitional Anchors Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:51:03.571495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T04:32:04.547197Z digest=sha256:d0f09f328256421132ea0506326ea7283ee019c77c8b3717a4000e51803f4c0e

Observation d2be249b-5a9f-4509-b7a5-0bb8fe90acfc · inbound

AgentSteerTTS: A Multi-Agent Closed-Loop Framework for Composite-Instruction Text-to-Speech cites this paper.

AgentSteerTTS: A Multi-Agent Closed-Loop Framework for Composite-Instruction Text-to-Speech Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception

Reference 105

Resolution
verified exact
arxiv_id, observed 2026-05-20T21:19:03.217532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 0d581b57-d70b-4243-b350-5a8155b7ea8f · inbound

Dynamic-dLLM: Dynamic Cache-Budget and Adaptive Parallel Decoding for Training-Free Acceleration of Diffusion LLM cites this paper.

Dynamic-dLLM: Dynamic Cache-Budget and Adaptive Parallel Decoding for Training-Free Acceleration of Diffusion LLM Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-06-29T13:33:28.301224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-29T13:27:45.796650Z digest=sha256:c8890b6e91e23cbcd67723fb2be91f1561c04ac9780803f440e735acda51811b

Observation 2648fb87-7a24-4a22-bfd8-9cbc79320386 · inbound

DC-Leap: Training-Free Acceleration of dLLMs via Draft-Guided Contiguous Leaping Decoding cites this paper.

DC-Leap: Training-Free Acceleration of dLLMs via Draft-Guided Contiguous Leaping Decoding Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception

Reference 19

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:42:25.796548Z digest=sha256:77f6cc4f37a4f349b4f3a37f29e29c4d7b4459773864ceb7fde84138debfa7b7