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Paper Citation Record · LEDGER

Segment Concealed Objects with Incomplete Supervision

As of 8 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 2026-08-07T06:34:17.273281+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

  • verified exact1
  • 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

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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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verified fuzzy
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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 2026-08-07T06:34:17.273281+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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

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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

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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

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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

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+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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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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
raw_fallback, observed 2026-08-07T05:04:05.682880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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
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raw_fallback, observed 2026-08-07T05:04:05.586560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+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
verified fuzzy
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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:03:59.034576Z digest=sha256:9360cdfff6f05a8c635e12684c68641257ebfed5350fd6167bcee17a31c3e3b8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:03:59.109925Z digest=sha256:8e555362a43f18a25bdf07b596f149ddcf189efc69d40a5659b6d1abd15d701c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:03:59.187700Z digest=sha256:f58028e3f89f62a22ebf584c1bf86a75639b2e0387d049822335df43f14b0079

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:03:59.267231Z digest=sha256:81a53986ca5449503a7feb3559725fe61383493c9577418470bec71e67a3a696

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:03:59.317432Z digest=sha256:c0896e779477f842f0872935f9cda4e6504db94651ac89e1c8594afcfbeb61b4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:03:59.380606Z digest=sha256:c5658fd0cdd81eb0b698ee0a7ed73108ca2e8b6f9807d25673b957af4075e7a9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:03:59.449532Z digest=sha256:d8616021ccae0bf575c6bbc822563a725627c01ef9945baa90e6dce6f1159716

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:03:59.532042Z digest=sha256:e2c3a6f1520d13ca87fa82831187132305b9ef9fbb8556914874d4e8857102ec

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:03:59.629541Z digest=sha256:27a49930253648e5dcc5315d674a80792c05afbad09dd9a6c11a384d939f0920

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:03:59.701786Z digest=sha256:f40e20a86f0da34c4eebe2abc6818f2f28ba2393fa4144cbcbca177a50ab70c3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:03:59.800670Z digest=sha256:61fc66c0f34ea1466c782ccc21437c76ba5f2196fe0b3352288087c3c53ca03e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:03:59.861936Z digest=sha256:ec0bf692caf4862ff7ff60e06a4ca01e6f8e2e8fe16229d28e2be7cd7e6b07bd

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:03:59.969448Z digest=sha256:f57a293dc3e85b7df2a305f09fccb15eecc3c3b4964cc150cf187ef7f4c3fe31

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:04:00.083481Z digest=sha256:c2d53b5e6652a0cf412604dba211e78d277b25b86d30eaadff44b55384cd0fad

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:bb0ec737709ac583bc56775bde0a5ff97003b925b4075e840f7d84c23554cb61

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:04:00.242888Z digest=sha256:8e937f33f173b2a59d850835be242b1436ecbef9faa05c98b6bd63711b896d70

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:04:00.305669Z digest=sha256:289185284148323d75934d066b8ca3c426be5351aec35f4f3840955026fdc6ba

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:04:00.383831Z digest=sha256:67e90cb88191032a2877fe94bf39e5e0900efa1bf806eeee86028e337698e003

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:04:00.447436Z digest=sha256:0dbae86583bb353d7ecc5b98cd86743127d3a4ccb22705ba0d3198960cba70f2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:04:00.530931Z digest=sha256:b2081f2f225176f79dde1a494a7492f5fd81ce8ccad03889b8885b1da01eecdd

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:04:00.593139Z digest=sha256:8ef7831adf33cb75524aa090d87dd442df523a519019ba879720fe5de5aecdc3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:04:00.666025Z digest=sha256:ad9c4a44dc0aa15bbcf3f2ff33836f79bb73b17ff18baf752f79b6a6b1fc3b0a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:04:00.772582Z digest=sha256:e6fda8198a388876d9ed0ef0aaa768a6e1ec2bda0dc87f9f4829bd400539343a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:04:00.831297Z digest=sha256:ae806742871ccd3f21b29e16bd29c0554a02a77451eaea133d31c09d9f7df2f7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:04:00.897647Z digest=sha256:4533dbc4eabe10a162a176ef1a0266c79bb745edbb948b02147d37ffecf910a9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:04:00.972428Z digest=sha256:df8b726ed85e53ac9c36ffbc12287ec69db30f8a589669227f5baf8cedc2216f

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:e2b9b202ad305a772459644f2b2a4d5a3ee27130c36acd292c419edf76bcd7df

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:04:01.144569Z digest=sha256:2126cfcb12120718022ece7374bbe0b09b75ed51e0caf606819562e40fc31fdb

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:04:01.211787Z digest=sha256:bbeaf19e0f34e31dbc11e8eb784c0bc492a48a4a600b44bb67dd4e28e8b7fa0a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:04:01.276770Z digest=sha256:acb44282119cad66e737ec7392b989f1e71f6f01cbc88d59b8488444b7b93a3b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:04:01.348146Z digest=sha256:8d43ca6bdce8c6b7483bf90ecbdeb9ae60ad8ae8fee1181cf0bee77c5c434976

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:04:01.424127Z digest=sha256:b8075c6783559f6fd1e52f8026f1e843afa993c332d3025b6b94a4d764f58ab6

Pith citing papers

No inbound Pith citation observations are available.