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Paper Citation Record · LEDGER

Segment Concealed Objects with Incomplete Supervision

As of 19 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2506.08955.

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

pith.paper-citation-record.v1
2506.08955 v2

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:04:01.424127Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

66 of 66 outbound references displayed

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  • verified fuzzy56
  • unresolved9
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cc264ff9-7393-44cc-bb3d-3d832b07a0cd · outbound

This paper cites Concealed object detection,.

Segment Concealed Objects with Incomplete Supervision Concealed object detection,

Reference 1

Resolution
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Source-reported events for the cited work

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Observation 8b704397-eb5d-4310-becb-d7a2077b66bb · outbound

This paper cites Image threshold segmentation based on glle histogram,.

Segment Concealed Objects with Incomplete Supervision Image threshold segmentation based on glle histogram,

Reference 2

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Source-reported events for the cited work

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Observation 3f93ef02-ef45-4499-bcee-75125b29c366 · outbound

This paper cites Strategic preys make acute predators: Enhancing camouflaged object detectors by generating camouflaged objects,.

Segment Concealed Objects with Incomplete Supervision Strategic preys make acute predators: Enhancing camouflaged object detectors by generating camouflaged objects,

Reference 3

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Source-reported events for the cited work

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Observation 0d2c5175-2b3d-4dec-bc3f-ed4ea8da6d46 · outbound

This paper cites A survey of camouflaged object detection and beyond,.

Segment Concealed Objects with Incomplete Supervision A survey of camouflaged object detection and beyond,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 14d75229-a182-4dd9-8421-6677c8c138a8 · outbound

This paper cites Concealed object segmentation with hierarchical coherence modeling,.

Segment Concealed Objects with Incomplete Supervision Concealed object segmentation with hierarchical coherence modeling,

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 9d62776a-ce47-4895-86fc-6656f6b001f5 · outbound

This paper cites Zoomnext: A unified collaborative pyramid network for camouflaged object detection,.

Segment Concealed Objects with Incomplete Supervision Zoomnext: A unified collaborative pyramid network for camouflaged object detection,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 9cc3ca38-bbf7-4128-9419-a78fc05e5665 · outbound

This paper cites Detecting camouflaged object in frequency domain,.

Segment Concealed Objects with Incomplete Supervision Detecting camouflaged object in frequency domain,

Reference 7

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation ee9b969c-8462-4126-a524-856a600b2a17 · outbound

This paper cites Camouflaged object detection with feature decomposition and edge reconstruction,.

Segment Concealed Objects with Incomplete Supervision Camouflaged object detection with feature decomposition and edge reconstruction,

Reference 8

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c279d548-b4b7-4135-a749-444d2cd67f9f · outbound

This paper cites Diffusion models in low-level vision: A survey,.

Segment Concealed Objects with Incomplete Supervision Diffusion models in low-level vision: A survey,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 598c4eaa-ae3f-4382-ab4c-93cdaaf1fcf8 · outbound

This paper cites Spider: A unified framework for context-dependent concept segmentation,.

Segment Concealed Objects with Incomplete Supervision Spider: A unified framework for context-dependent concept segmentation,

Reference 10

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 63312267-7552-48be-a145-95f70c771312 · outbound

This paper cites Weakly-supervised concealed object segmentation with sam-based pseudo labeling and multi-scale feature grouping,.

Segment Concealed Objects with Incomplete Supervision Weakly-supervised concealed object segmentation with sam-based pseudo labeling and multi-scale feature grouping,

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 9ec5ef46-e4a4-409a-a6bc-db42326a1b3c · outbound

This paper cites CamoTeacher: Dual-Rotation Consistency Learning for Semi-Supervised Camouflaged Object Detection.

Segment Concealed Objects with Incomplete Supervision CamoTeacher: Dual-Rotation Consistency Learning for Semi-Supervised Camouflaged Object Detection

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:04:01.795393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation a0f20f40-0d64-4530-8fe1-5a58a616f663 · outbound

This paper cites Real-world image dehazing with coherence-based label generator and cooperative unfolding network,.

Segment Concealed Objects with Incomplete Supervision Real-world image dehazing with coherence-based label generator and cooperative unfolding network,

Reference 13

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 5663a5fa-52df-483f-921f-82e2483e2b2c · outbound

This paper cites Reti-diff: Illumination degradation image restoration with retinex-based latent diffusion model,.

Segment Concealed Objects with Incomplete Supervision Reti-diff: Illumination degradation image restoration with retinex-based latent diffusion model,

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation f183d66e-6914-4561-bfe5-288e9625febe · outbound

This paper cites UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration.

Segment Concealed Objects with Incomplete Supervision UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e9a08685-cb21-42fb-b21e-4e7c9d3bf1dd · outbound

This paper cites Segment Anything.

Segment Concealed Objects with Incomplete Supervision Segment Anything

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c8c1cd60-5176-4719-b833-49d0409e42cc · outbound

This paper cites Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection.

Segment Concealed Objects with Incomplete Supervision Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection

Reference 17

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 87fd6cc2-d108-4cab-ab28-97432c1818d8 · outbound

This paper cites SAM Struggles in Concealed Scenes -- Empirical Study on Segment Anything.

Segment Concealed Objects with Incomplete Supervision SAM Struggles in Concealed Scenes -- Empirical Study on Segment Anything

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c74a54b4-1e69-422c-9bcf-7a50c33598fc · outbound

This paper cites Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications.

Segment Concealed Objects with Incomplete Supervision Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications

Reference 19

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 10d0c6f8-0cc1-4e44-acd4-6acd8af41ce9 · outbound

This paper cites Segment Anything Model for Medical Image Analysis: an Experimental Study.

Segment Concealed Objects with Incomplete Supervision Segment Anything Model for Medical Image Analysis: an Experimental Study

Reference 20

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2f09b21a-c634-41aa-966c-31eec4c9c5fb · outbound

This paper cites Hqg-net: Unpaired medical image enhancement with high-quality guidance,.

Segment Concealed Objects with Incomplete Supervision Hqg-net: Unpaired medical image enhancement with high-quality guidance,

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation a35e44f6-265b-4816-9c35-f77ffdfd7fac · outbound

This paper cites Sam-adapter: Adapting segment anything in underperformed scenes,.

Segment Concealed Objects with Incomplete Supervision Sam-adapter: Adapting segment anything in underperformed scenes,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 5d5b342c-914b-48c8-b410-63d186c94adc · outbound

This paper cites Relax image-specific prompt requirement in sam: A single generic prompt for segmenting camouflaged objects,.

Segment Concealed Objects with Incomplete Supervision Relax image-specific prompt requirement in sam: A single generic prompt for segmenting camouflaged objects,

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation ec76c84c-502a-4d24-95fd-86bef6066e86 · outbound

This paper cites Pranet: Parallel reverse attention network for polyp segmentation,.

Segment Concealed Objects with Incomplete Supervision Pranet: Parallel reverse attention network for polyp segmentation,

Reference 24

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 66e03c73-9686-4123-bebf-d56308e43a2c · outbound

This paper cites Camouflaged object detection,.

Segment Concealed Objects with Incomplete Supervision Camouflaged object detection,

Reference 25

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 93708761-fbfb-49a6-84f6-aa9d67afda63 · outbound

This paper cites Rich context aggregation with reflection prior for glass surface detection,.

Segment Concealed Objects with Incomplete Supervision Rich context aggregation with reflection prior for glass surface detection,

Reference 26

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 5d7ffdb8-712c-410b-95c3-6b9c273e91a9 · outbound

This paper cites Referring camouflaged object detection,.

Segment Concealed Objects with Incomplete Supervision Referring camouflaged object detection,

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 9d370f7d-1b19-4be1-9981-7e17ec7131c7 · outbound

This paper cites Camoformer: Masked separable attention for camouflaged object detection,.

Segment Concealed Objects with Incomplete Supervision Camoformer: Masked separable attention for camouflaged object detection,

Reference 28

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 44c149eb-9c41-475d-8590-3e47e7b5f753 · outbound

This paper cites RUN: Reversible Unfolding Network for Concealed Object Segmentation.

Segment Concealed Objects with Incomplete Supervision RUN: Reversible Unfolding Network for Concealed Object Segmentation

Reference 29

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 82fca469-94f9-4af1-97d5-320ca7fc90c9 · outbound

This paper cites Un- locking attributes’ contribution to successful camouflage: A combined textual and visual analysis strategy,.

Segment Concealed Objects with Incomplete Supervision Un- locking attributes’ contribution to successful camouflage: A combined textual and visual analysis strategy,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:04:05.658500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 7c03e363-c340-4fb5-b8d4-25ce9e44ff70 · outbound

This paper cites Leveraging hallucinations to reduce manual prompt dependency in promptable segmentation,.

Segment Concealed Objects with Incomplete Supervision Leveraging hallucinations to reduce manual prompt dependency in promptable segmentation,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:04:05.632175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 9be0e86b-3c5b-4add-826d-ac01ca9fec63 · outbound

This paper cites Weakly-supervised camouflaged object detection with scribble,.

Segment Concealed Objects with Incomplete Supervision Weakly-supervised camouflaged object detection with scribble,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:04:05.608793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation f2cf20cd-9f3f-4fad-8f26-c8a7916c8652 · outbound

This paper cites Deep residual learning for image recognition,.

Segment Concealed Objects with Incomplete Supervision Deep residual learning for image recognition,

Reference 33

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 1dc13fc5-f3e7-4d01-b0dc-83849b62dd4e · outbound

This paper cites Degradation-resistant unfolding network for heterogeneous image fusion,.

Segment Concealed Objects with Incomplete Supervision Degradation-resistant unfolding network for heterogeneous image fusion,

Reference 34

Resolution
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raw_fallback, observed 2026-08-07T05:04:05.563304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 853ea17e-86dc-46de-9702-dcb4152c5562 · outbound

This paper cites Object-centric learning with slot attention,.

Segment Concealed Objects with Incomplete Supervision Object-centric learning with slot attention,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:04:05.541968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 5dca6523-00cc-4d9f-8663-86b190346cbb · outbound

This paper cites Weakly-supervised salient object detection via scribble,.

Segment Concealed Objects with Incomplete Supervision Weakly-supervised salient object detection via scribble,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:04:05.518141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:03:59.109925Z digest=sha256:0d4bf8bd35ec5b0a6c2dd8eee689a370eacf9e2c019bd76139305555743d7ee0

Observation 49cf205b-bfcc-43e9-bbb6-441d12487c0d · outbound

This paper cites Structure-consistent weakly supervised salient object detection with local saliency coherence,.

Segment Concealed Objects with Incomplete Supervision Structure-consistent weakly supervised salient object detection with local saliency coherence,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:04:05.448731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:03:59.187700Z digest=sha256:10b95ec4b23be0cc6bb6ff6f714160dc3048c069b3b352651e07a7ce60b322ab

Observation f0c8705f-2c74-4bbd-89e6-53ab5cfa9a16 · outbound

This paper cites Tree energy loss: Towards sparsely annotated semantic segmentation,.

Segment Concealed Objects with Incomplete Supervision Tree energy loss: Towards sparsely annotated semantic segmentation,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:04:05.255592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:03:59.267231Z digest=sha256:40facdc32b221d540848585b3831826af62981b26711232d7d688d07e7c5f5f7

Observation 6e60ef5f-377a-4052-9611-6da6e811d9d8 · outbound

This paper cites Towards automated polyp segmentation using weakly-and semi-supervised learning and deformable transformers,.

Segment Concealed Objects with Incomplete Supervision Towards automated polyp segmentation using weakly-and semi-supervised learning and deformable transformers,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:04:05.032418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:03:59.317432Z digest=sha256:3ffa9043ebe0cc2cfab53b64e210b005ce0a699be0168f8ce3a024ba89fe61bb

Observation 12cbcff9-a7dd-401c-b55a-26278dc2c06a · outbound

This paper cites Pseudo-label guided contrastive learning for semi- supervised medical image segmentation,.

Segment Concealed Objects with Incomplete Supervision Pseudo-label guided contrastive learning for semi- supervised medical image segmentation,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:04:04.829594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:03:59.380606Z digest=sha256:62789f84ce78407f9d87f2f325e2751d376f8af5d02fd01ff89afae9c5b1c717

Observation 69847779-fcbf-4981-b121-279aa9d55e49 · outbound

This paper cites Saliency as pseudo-pixel supervision for weakly and semi-supervised semantic segmentation,.

Segment Concealed Objects with Incomplete Supervision Saliency as pseudo-pixel supervision for weakly and semi-supervised semantic segmentation,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:04:04.686267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:03:59.449532Z digest=sha256:ba4e7a9ff2b1f2c46b62a6e1180a2bc4d044affe044d4cce9f006e6f7fb35744

Observation a81599bf-39d1-4f0f-9441-9e0606704f06 · outbound

This paper cites Unsupervised and semi-supervised co-salient object detection via segmentation fre- quency statistics,.

Segment Concealed Objects with Incomplete Supervision Unsupervised and semi-supervised co-salient object detection via segmentation fre- quency statistics,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:04:04.614178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:03:59.532042Z digest=sha256:1334fa2715ab8f1157222a9e300714414d2a94b23f58087346765a164fd7b0d7

Observation c88c70a3-38d8-4e23-8fa6-7fff73706e4b · outbound

This paper cites Randaugment: Practical automated data augmentation with a reduced search space,.

Segment Concealed Objects with Incomplete Supervision Randaugment: Practical automated data augmentation with a reduced search space,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:04:04.550559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:03:59.629541Z digest=sha256:5cbdcbd152538b484cc3d29326945a300af089b6c472760868888b50a2823b14

Observation b27f14d2-283c-468c-b494-a8f44ea72d42 · outbound

This paper cites Denseaspp for semantic segmentation in street scenes,.

Segment Concealed Objects with Incomplete Supervision Denseaspp for semantic segmentation in street scenes,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:04:04.487466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:03:59.701786Z digest=sha256:908874d04174d2bfbfbc61b24cd7badbd0742817f090aeb4fa8900f072388937

Observation 8330dd5a-20fd-4607-b6d1-3b16dccc2898 · outbound

This paper cites Psanet: Point-wise spatial attention network for scene parsing,.

Segment Concealed Objects with Incomplete Supervision Psanet: Point-wise spatial attention network for scene parsing,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:04:04.417503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:03:59.800670Z digest=sha256:8eb223084136f162bb772404f635236b9b171fb8d71c85ec99bcacb99669cf90

Observation c5ddaba1-bbe8-42ee-b94e-b0110f8b0359 · outbound

This paper cites Eca-net: Efficient channel attention for deep convolutional neural networks,.

Segment Concealed Objects with Incomplete Supervision Eca-net: Efficient channel attention for deep convolutional neural networks,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:04:04.343135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:03:59.861936Z digest=sha256:a76494c022521e0977a0afb704ceb65d65d4f3a3a2076bc0ffc287156f911d0d

Observation 4c07b844-5879-41aa-b6b6-34b635e7f562 · outbound

This paper cites Image super-resolution using very deep residual channel attention networks,.

Segment Concealed Objects with Incomplete Supervision Image super-resolution using very deep residual channel attention networks,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:04:04.245692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:03:59.969448Z digest=sha256:7694b3ed30ea4376943b3e5bb67fbba4475ad07ebac96c24adc8327377a30b2f

Observation b150093d-1d18-4a2f-9b77-07ca089ebb70 · outbound

This paper cites Imagenet: A large- scale hierarchical image database,.

Segment Concealed Objects with Incomplete Supervision Imagenet: A large- scale hierarchical image database,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:04:04.128485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:04:00.083481Z digest=sha256:278091d59f3b6af953c569264ea938bf6d52a72ff11b4e2be6d7f41dae6c6309

Observation 6bb56ee6-f183-4e9a-aa28-288d24834a63 · outbound

This paper cites Integrating Extra Modality Helps Segmentor Find Camouflaged Objects Well.

Segment Concealed Objects with Incomplete Supervision Integrating Extra Modality Helps Segmentor Find Camouflaged Objects Well

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:00.171336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:00.171336Z digest=sha256:d4bf2670aea8487348c46f35543f1350f55e220d2f57709353e9dac7ef06ec6a

Observation 487d7442-93ff-47b6-966b-8e66ef350c28 · outbound

This paper cites How to evaluate foreground maps?.

Segment Concealed Objects with Incomplete Supervision How to evaluate foreground maps?

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:04:03.961432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:04:00.242888Z digest=sha256:c89418c994b58d7be3f8df5346438fbf8db6eea49d48d8d5b0da0b013c409bab

Observation db8626b5-a560-4be5-b961-5ac3e8c202a9 · outbound

This paper cites Cognitive vision inspired object segmentation metric and loss function,.

Segment Concealed Objects with Incomplete Supervision Cognitive vision inspired object segmentation metric and loss function,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:04:03.858964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:04:00.305669Z digest=sha256:c816d9df62b54f5b88a8b3a26ee6eea4e170abc2bd7dd4f4b31a680dfb3f8fb4

Observation 4a445cc2-d311-448c-98a9-e775b778ad02 · outbound

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

Segment Concealed Objects with Incomplete Supervision Structure-measure: A new way to evaluate foreground maps,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:04:03.737667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:04:00.383831Z digest=sha256:1cbea63bec4d28ce02bf676b52b2a5b4f2444a2b972ec17f26db903895ce45f7

Observation 87ac0597-59e3-4d20-b9d4-e5d012654db6 · outbound

This paper cites Animal camouflage analysis: Chameleon database,.

Segment Concealed Objects with Incomplete Supervision Animal camouflage analysis: Chameleon database,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:04:03.637829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:04:00.447436Z digest=sha256:647463a43137296774db35a2c3f03a77821df25a405430f6692d9cfd59dd98ab

Observation 1263feb8-4661-4019-9165-51633298fe93 · outbound

This paper cites Anabranch network for camouflaged object segmentation,.

Segment Concealed Objects with Incomplete Supervision Anabranch network for camouflaged object segmentation,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:04:03.467626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:04:00.530931Z digest=sha256:934deed6f4f2646af5157ce2562dca2675785262665c65ed24c3e687caf01d81

Observation 73435958-fd8b-4023-a269-9d1d1ef24121 · outbound

This paper cites Simultaneously localize, segment and rank the camouflaged objects,.

Segment Concealed Objects with Incomplete Supervision Simultaneously localize, segment and rank the camouflaged objects,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:04:03.354199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:04:00.593139Z digest=sha256:54991fc57f50edcaf34178df7d2c205000ef83722b3a11742cb83d048791f694

Observation 6df3a4cc-5ae3-4447-9580-7a3d0a215f7f · outbound

This paper cites Automated polyp detection in colonoscopy videos using shape and context information,.

Segment Concealed Objects with Incomplete Supervision Automated polyp detection in colonoscopy videos using shape and context information,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:04:03.239123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:04:00.666025Z digest=sha256:5519b5ccbd5df06a4e5b311a9708e10682c14060d0ac70995c41f25b5696c3cc

Observation 509ef312-b998-4f4e-a144-57eadc726fed · outbound

This paper cites Toward embedded detection of polyps in wce images for early diagnosis,.

Segment Concealed Objects with Incomplete Supervision Toward embedded detection of polyps in wce images for early diagnosis,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:04:03.096609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:04:00.772582Z digest=sha256:40cc3e2ad40ce918ef85646940d87ea7b4296397103281286fcd1996105733c8

Observation aaeb4c26-2862-43a1-9f44-8d1658f345f4 · outbound

This paper cites Kvasir-seg: A segmented polyp dataset,.

Segment Concealed Objects with Incomplete Supervision Kvasir-seg: A segmented polyp dataset,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:04:02.956291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:04:00.831297Z digest=sha256:c2ba0aea0072f5f1663282f7f342157e150b2feb11b461db97b4f7dc195e9a91

Observation e6043077-6ced-4fbf-bba2-0f18d0f6558f · outbound

This paper cites Don’t hit me! glass detection in real-world scenes,.

Segment Concealed Objects with Incomplete Supervision Don’t hit me! glass detection in real-world scenes,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:04:02.811594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:04:00.897647Z digest=sha256:2e8ae19a69a1bc0cc3208f05c7bffbef066f262337436861690cd4cc6cc13500

Observation 9e495d73-7aad-48cf-8c07-459a5cb600d0 · outbound

This paper cites Weakly-supervised salient object detection using point supervison,.

Segment Concealed Objects with Incomplete Supervision Weakly-supervised salient object detection using point supervison,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:04:02.686849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:04:00.972428Z digest=sha256:50129e58da40705fc11bba4bfc66944426a914e4e0b2600f4ff6a4a2083064f1

Observation 8610305a-0693-4bcb-ad32-15b3fbc62cdf · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Segment Concealed Objects with Incomplete Supervision SAM 2: Segment Anything in Images and Videos

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:01.044990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:01.044990Z digest=sha256:94ce8404ddb0d73f3f49906b2ab65a281e29ef4432b640979c687234d04ad404

Observation f5732250-3d73-45da-80d6-a48861a5fedb · outbound

This paper cites Exploring figure-ground assignment mechanism in perceptual organization,.

Segment Concealed Objects with Incomplete Supervision Exploring figure-ground assignment mechanism in perceptual organization,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:04:02.551349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:04:01.144569Z digest=sha256:f35dced89721533ddb5ea3da559e326335b0dbd2a9748fb88f60f5da75d1d44a

Observation 743ac696-cd59-4eff-87af-f3077fca8358 · outbound

This paper cites Pyramid grafting network for one-stage high resolution saliency detection,.

Segment Concealed Objects with Incomplete Supervision Pyramid grafting network for one-stage high resolution saliency detection,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:04:02.433135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:04:01.211787Z digest=sha256:c611f563aa148eb16a3e2ff5e5fbdf0951737029d884e7f8f686e18e5d824993

Observation d690fba4-7316-44e1-be52-c3af7e39cfc1 · outbound

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

Segment Concealed Objects with Incomplete Supervision Pixels, regions, and objects: Multiple enhancement for salient object detection,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:04:02.254821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:04:01.276770Z digest=sha256:cee52abd514987780f4a1727cf02b63d34d91916c0cd06d9ef884596fb886714

Observation 72212a97-6616-4a2b-9a23-ac43ac37520f · outbound

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

Segment Concealed Objects with Incomplete Supervision Learning to detect salient objects with image-level supervision,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:04:02.101412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:04:01.348146Z digest=sha256:004aa21c2ad08f680f1a8aef4190e0c179e6e299543fae1bdad092f37f437e42

Observation b9f99faf-3058-41a0-a27b-c5644dcdf025 · outbound

This paper cites Outstanding Member of the Editorial Board Award.

Segment Concealed Objects with Incomplete Supervision Outstanding Member of the Editorial Board Award

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:04:01.942933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:04:01.424127Z digest=sha256:dafdd9bec5ec5a88df888c46f603f250b4b7a10bf279c4f4622f6e74a8cdea90

Pith citing papers

No inbound Pith citation observations are available.