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Paper Citation Record · LEDGER

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation

As of 9 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2607.02708.

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

pith.paper-citation-record.v1
2607.02708 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T07:35:42.545307Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

48 of 48 outbound references displayed

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External citation measurements

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Outbound references

Observation 8ef82d38-c781-44e1-905a-777d3dfa107e · outbound

This paper cites Token merging: Your ViT but faster.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation Token merging: Your ViT but faster

Reference 1

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Observation a8f35967-3d19-4327-b6d1-26983ddfb811 · outbound

This paper cites SAM 3: Segment anything with concepts.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation SAM 3: Segment anything with concepts

Reference 2

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Observation 4c9c306f-fbd5-4c87-828c-acbef6b53651 · outbound

This paper cites SAM-Adapter: Adapting segment anything in under- performed scenes.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation SAM-Adapter: Adapting segment anything in under- performed scenes

Reference 3

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Observation ef1c5509-8da4-4206-a204-2cbf48a46343 · outbound

This paper cites SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More

Reference 4

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Observation 6849b3c6-c443-44ff-9028-d0bb93eb1d5b · outbound

This paper cites Vision transformer adapter for dense predictions.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation Vision transformer adapter for dense predictions

Reference 5

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Observation fe48f102-15d5-4793-98f4-1d0097a2ebfa · outbound

This paper cites Structure- measure: A new way to evaluate foreground maps.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation Structure- measure: A new way to evaluate foreground maps

Reference 6

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Observation 95a7ddc8-0715-47f8-82f5-f462a017c56b · outbound

This paper cites Enhanced- alignment measure for binary foreground map evaluation.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation Enhanced- alignment measure for binary foreground map evaluation

Reference 7

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Observation ff6c48f6-49a6-4e2f-a616-c88e5ddc55fa · outbound

This paper cites Camouflaged object detection.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation Camouflaged object detection

Reference 8

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Observation b5b1fbfc-f764-4482-83b3-a735d58a266e · outbound

This paper cites PraNet: Par- allel reverse attention network for polyp segmentation.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation PraNet: Par- allel reverse attention network for polyp segmentation

Reference 9

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Observation 0ae3e03c-d58f-483e-bd94-3a6c1a5384e0 · outbound

This paper cites MASNet: A robust deep ma- rine animal segmentation network.IEEE Journal of Oceanic Engineering, 2023.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation MASNet: A robust deep ma- rine animal segmentation network.IEEE Journal of Oceanic Engineering, 2023

Reference 10

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Observation 56282817-b3f6-4d60-b593-c685bd873135 · outbound

This paper cites H2Former: An efficient hierarchical hybrid transformer for medical image segmentation.IEEE Transac- tions on Medical Imaging, 2023.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation H2Former: An efficient hierarchical hybrid transformer for medical image segmentation.IEEE Transac- tions on Medical Imaging, 2023

Reference 11

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Observation ce3f74c0-b157-4fd6-876c-cccddebcde5b · outbound

This paper cites Deep residual learning for image recognition.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation Deep residual learning for image recognition

Reference 12

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Observation 5d31e791-31bd-49c5-a787-d2b6d76a7fa3 · outbound

This paper cites LoRA: Low- rank adaptation of large language models.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation LoRA: Low- rank adaptation of large language models

Reference 13

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Observation 28af1474-9b5f-4f6b-846a-90106d2df6c4 · outbound

This paper cites Segment anything.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation Segment anything

Reference 14

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Observation 53078e87-a646-4141-bbc3-f88fb61ba658 · outbound

This paper cites Anabranch network for camouflaged object segmentation.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation Anabranch network for camouflaged object segmentation

Reference 15

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Observation 8e303dd5-52fa-4d06-9952-006b5ee9d1f7 · outbound

This paper cites Visual saliency based on multi- scale deep features.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation Visual saliency based on multi- scale deep features

Reference 16

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Observation 11673970-88d3-4718-9175-bbcea55863b7 · outbound

This paper cites MAS3K: An open dataset for marine animal segmentation.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation MAS3K: An open dataset for marine animal segmentation

Reference 17

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Observation 4c80b6d9-81c3-4b96-8c71-38623d031995 · outbound

This paper cites The secrets of salient object segmentation.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation The secrets of salient object segmentation

Reference 18

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Observation 4f56811b-1966-46eb-8a44-fbceff753117 · outbound

This paper cites Exploring plain vision transformer backbones for object de- tection.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation Exploring plain vision transformer backbones for object de- tection

Reference 19

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Observation fee46866-5be1-4545-a453-0a6a5b36d5f1 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation Swin transformer: Hierarchical vision transformer using shifted windows

Reference 20

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Observation e5cc3cb0-cfa8-4d5f-9dd8-1d5b688cef94 · outbound

This paper cites Decoupled weight decay regularization.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation Decoupled weight decay regularization

Reference 21

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Observation c718f45b-067c-4fed-97e5-6f7eda2e8d81 · outbound

This paper cites VSCode: Gen- eral visual salient and camouflaged object detection with 2d prompt learning.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation VSCode: Gen- eral visual salient and camouflaged object detection with 2d prompt learning

Reference 22

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Observation a44705da-8425-4a5f-9202-77b699c193b1 · outbound

This paper cites Simultaneously lo- calize, segment and rank the camouflaged objects.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation Simultaneously lo- calize, segment and rank the camouflaged objects

Reference 23

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Observation 2333c998-7780-4cfe-b544-6cf47e886bd0 · outbound

This paper cites How to evaluate foreground maps? InCVPR, 2014.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation How to evaluate foreground maps? InCVPR, 2014

Reference 24

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Observation 9df6467b-ee62-45ba-a2b8-3f415e72114f · outbound

This paper cites Vo, et al.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation Vo, et al

Reference 25

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Observation 4132e764-824d-4ac0-af8b-9b54e3580090 · outbound

This paper cites Zoom in and out: A mixed-scale triplet network for camouflaged object detection.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation Zoom in and out: A mixed-scale triplet network for camouflaged object detection

Reference 26

Resolution
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Observation 2b31f6d0-33ae-4613-943a-d137653b2b37 · outbound

This paper cites Zoom- NeXt: A unified collaborative pyramid network for camou- flaged object detection.IEEE TPAMI, 2024.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation Zoom- NeXt: A unified collaborative pyramid network for camou- flaged object detection.IEEE TPAMI, 2024

Reference 27

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Observation 4d3a9f7e-f2b7-483c-8072-31bd243910ca · outbound

This paper cites Learning transferable visual models from natural language supervision.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation Learning transferable visual models from natural language supervision

Reference 28

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Observation 93831967-3d8a-4aa2-9e90-93db23f6cb1c · outbound

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

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation SAM 2: Segment anything in images and videos

Reference 29

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Observation d8d06d13-1222-487e-8e05-7aa3bc2a4925 · outbound

This paper cites U-Net: Convolutional networks for biomedical image segmentation.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation U-Net: Convolutional networks for biomedical image segmentation

Reference 30

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Observation a69173c0-796b-43cf-976e-1216ff4609e2 · outbound

This paper cites Hi- era: A hierarchical vision transformer without the bells-and- whistles.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation Hi- era: A hierarchical vision transformer without the bells-and- whistles

Reference 31

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Reference 32

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Observation 13f2857b-0fed-4558-9c7d-44853712fa5d · outbound

This paper cites Very deep convo- lutional networks for large-scale image recognition.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation Very deep convo- lutional networks for large-scale image recognition

Reference 33

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Observation b0cad383-fa1d-400d-a1d8-55feeaaf8a4f · outbound

This paper cites Animal camouflage analysis: CHAMELEON database.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation Animal camouflage analysis: CHAMELEON database

Reference 34

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Observation 10827089-fd80-48a9-af68-5bb82296c706 · outbound

This paper cites Learning to detect salient objects with image-level supervision.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation Learning to detect salient objects with image-level supervision

Reference 35

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Observation d2665166-f0a4-40bd-99ae-545ddf71e49d · outbound

This paper cites Pixels, regions, and objects: Multiple enhancement for salient object detection.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation Pixels, regions, and objects: Multiple enhancement for salient object detection

Reference 36

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Observation 717a4eb5-85b2-4e91-80e9-3d569bb36c2a · outbound

This paper cites F3Net: Fu- sion, feedback and focus for salient object detection.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation F3Net: Fu- sion, feedback and focus for salient object detection

Reference 37

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source=pdf_text observed=2026-07-12T07:35:42.545307Z digest=sha256:d9bdc5c4338624fc2ba86d37e2540c16b9f1d64ec880528f8b2a86b022f69240

Observation d1795781-9a7c-44a1-bf32-3eaae5eb75d1 · outbound

This paper cites Pyramid grafting network for one-stage high-resolution saliency de- tection.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation Pyramid grafting network for one-stage high-resolution saliency de- tection

Reference 38

Resolution
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source=pdf_text observed=2026-07-12T07:35:42.545307Z digest=sha256:fba098f10e035ec44b150b488c7af87f9923a9105cc2eb91d90484a2c60a0a2d

Observation e1c2a3ea-e63d-4bf0-9469-8c242e19b77f · outbound

This paper cites SAM3- UNet: Simplified adaptation of segment anything model 3.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation SAM3- UNet: Simplified adaptation of segment anything model 3

Reference 39

Resolution
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source=pdf_text observed=2026-07-12T07:35:42.545307Z digest=sha256:d1684a1cd503e626e46c51c4672579f92c0514b28a7a8252b4c70599f90ef6b3

Observation 79cf1b25-ac06-4029-8200-9d2f8ab2c633 · outbound

This paper cites SAM2-UNet: Segment anything 2 makes strong encoder for natural and medical image segmentation.Visual Intelligence, 4(1):2, 2026.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation SAM2-UNet: Segment anything 2 makes strong encoder for natural and medical image segmentation.Visual Intelligence, 4(1):2, 2026

Reference 40

Resolution
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source=pdf_text observed=2026-07-12T07:35:42.545307Z digest=sha256:764e9c675ac3e505a090350428c16159eb4557043f0bcc99869dd6976cd8a2bf

Observation 5fd27400-be36-4eb8-a6cc-a40232049bbb · outbound

This paper cites Hierarchical saliency detection.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation Hierarchical saliency detection

Reference 41

Resolution
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source=pdf_text observed=2026-07-12T07:35:42.545307Z digest=sha256:6a4b1b1ce29804cf8f8219bf4c442c6be5ecf772d4c536c6df573b20eb071365

Observation c76747c7-2245-48e3-831e-e6977aa4c248 · outbound

This paper cites MAS-SAM: Segment any marine animal with aggregated features.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation MAS-SAM: Segment any marine animal with aggregated features

Reference 42

Resolution
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source=pdf_text observed=2026-07-12T07:35:42.545307Z digest=sha256:09ad385507c6d42ce65661bb46df487773a905ed8f44fafacec4816ff73d43b3

Observation ee16e855-979e-4026-8d8a-e7e427f8ef98 · outbound

This paper cites Saliency de- tection via graph-based manifold ranking.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation Saliency de- tection via graph-based manifold ranking

Reference 43

Resolution
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source=pdf_text observed=2026-07-12T07:35:42.545307Z digest=sha256:6b054dea981e3de43abf2ca150928559057fc9a586e5ab191bd9943e51067b9f

Observation cddc9640-f7ce-45ee-a944-922c3edeff5e · outbound

This paper cites FOCUS: Towards universal foreground segmentation.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation FOCUS: Towards universal foreground segmentation

Reference 44

Resolution
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source=pdf_text observed=2026-07-12T07:35:42.545307Z digest=sha256:9899e469229e199ee26c064a9416a1a7bd5e1dc59f55a74888ead20eed8763a4

Observation b0af58dc-96b1-43d9-a9e6-0089c012d2f8 · outbound

This paper cites Towards high-resolution salient object detection.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation Towards high-resolution salient object detection

Reference 45

Resolution
unresolved
no resolver link, observed 2026-07-12T07:35:42.545307Z

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source=pdf_text observed=2026-07-12T07:35:42.545307Z digest=sha256:e547c49aa2a3dd30362f3cf0ada40a36087e542802f9d19b36110dc560ef6113

Observation 935c0d96-cd5d-4ecb-8599-c1094018f6d7 · outbound

This paper cites Fantastic animals and where to find them: Segment any ma- rine animal with dual SAM.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation Fantastic animals and where to find them: Segment any ma- rine animal with dual SAM

Reference 46

Resolution
unresolved
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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T07:35:42.545307Z digest=sha256:eb69bdef7a4ce919e03824530064c544de1b8caebb45ee7a02aedb9ab6b8bb0b

Observation f73cd201-df42-4164-8caf-8d9de30177ac · outbound

This paper cites Bilateral reference for high-resolution dichotomous image segmenta- tion.CAAI Artificial Intelligence Research, 2024.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation Bilateral reference for high-resolution dichotomous image segmenta- tion.CAAI Artificial Intelligence Research, 2024

Reference 47

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T07:35:42.545307Z digest=sha256:1c1d023ce38fc7282d6b86f9696016306c799dd03ce15f26d9e4066551a32fca

Observation f0c9089b-d539-4686-bb2f-434ff4b2b2f5 · outbound

This paper cites Salient object detection via integrity learning.IEEE TPAMI, 2023.

When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation Salient object detection via integrity learning.IEEE TPAMI, 2023

Reference 48

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source=pdf_text observed=2026-07-12T07:35:42.545307Z digest=sha256:c5d4061f9849d5a5f714af7de211221fa65046d2e86121bea73245c9d1e45ecc

Pith citing papers

No inbound Pith citation observations are available.