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Paper Citation Record · LEDGER

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning

As of 7 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 0 inbound Pith citation observations for arXiv:2506.07087.

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

pith.paper-citation-record.v1
2506.07087 v1

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:50:20.989958Z

measured 69 of 69 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

69 of 69 outbound references displayed

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  • unresolved6
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation da8acdd8-3fe0-40b5-84d5-9bd54814ba58 · outbound

This paper cites Object Discovery with a Copy-Pasting GAN.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Object Discovery with a Copy-Pasting GAN

Reference 1

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Source-reported events for the cited work

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Observation 05f6801d-0ab0-403d-8b85-a1217abbd314 · outbound

This paper cites BEiT: BERT Pre-Training of Image Transformers.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning BEiT: BERT Pre-Training of Image Transformers

Reference 2

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Observation 6c1ef94c-f5da-4e53-807b-351f28550c3f · outbound

This paper cites Emergence of object segmen- tation in perturbed generative models.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Emergence of object segmen- tation in perturbed generative models

Reference 3

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Observation d8534504-1362-456c-8528-e8f4861175c9 · outbound

This paper cites The adaptive significance of coloration in mam- mals.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning The adaptive significance of coloration in mam- mals

Reference 4

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Observation 93e28176-02e5-47a7-bf8b-d6af0756dbce · outbound

This paper cites Emerg- ing properties in self-supervised vision transformers.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Emerg- ing properties in self-supervised vision transformers

Reference 5

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Observation fa17c660-afd6-4dba-8d8f-b895ef03addd · outbound

This paper cites A simple framework for contrastive learning of visual representations.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning A simple framework for contrastive learning of visual representations

Reference 6

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Observation ef427aad-d93a-4d89-bfd8-e1cc1f1b8629 · outbound

This paper cites Global contrast based salient region detection.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Global contrast based salient region detection

Reference 7

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Observation 1402446d-0040-46aa-b7f0-2467d6b9d7f9 · outbound

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

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Structure-measure: A new way to evaluate fore- ground maps

Reference 8

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Observation 6629b19d-8515-410a-b6e7-cf51769f78b0 · outbound

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

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Enhanced-alignment measure for binary foreground map evaluation

Reference 9

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Observation 597b7b46-c27e-4951-a971-7ddd3891b00d · outbound

This paper cites Camouflaged object detection.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Camouflaged object detection

Reference 10

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Observation 7a9a9fcc-bbd6-4c50-ac22-72de13fc2af2 · outbound

This paper cites Pranet: Parallel reverse at- tention network for polyp segmentation.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Pranet: Parallel reverse at- tention network for polyp segmentation

Reference 11

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Observation 6b03e6c9-50dc-4952-92ed-c58bdc9feb20 · outbound

This paper cites Concealed object detection.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Concealed object detection

Reference 12

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Observation ff82af5c-5e22-4c6f-b8ac-746cf6e641a0 · outbound

This paper cites Semi- supervised camouflaged object detection from noisy data.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Semi- supervised camouflaged object detection from noisy data

Reference 13

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Observation 3adb030e-3181-4a90-8916-09d9cd2189cd · outbound

This paper cites Unsu- pervised representation learning by predicting image rotations.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Unsu- pervised representation learning by predicting image rotations

Reference 14

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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 a6fc27b9-1c76-4fd7-a492-e6bfff2a9b5c · outbound

This paper cites Obow: Online bag-of- visual-words generation for self-supervised learning.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Obow: Online bag-of- visual-words generation for self-supervised learning

Reference 15

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Observation 020526b9-d9a0-4245-87cd-5cd3ffb25b50 · outbound

This paper cites Context- aware saliency detection.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Context- aware saliency detection

Reference 16

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Source-reported events for the cited work

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Observation 82aaa19b-8e35-47ac-977b-53557c62b9ab · outbound

This paper cites Generative adversarial nets.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Generative adversarial nets

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1d356509-1913-4b2b-8330-8454609337fe · outbound

This paper cites Bootstrap your own latent-a new approach to self-supervised learning.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Bootstrap your own latent-a new approach to self-supervised learning

Reference 18

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Observation bf143ac9-9fa7-48d6-8622-46bb2d49bbf7 · outbound

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

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Camouflaged object detection with feature decomposition and edge reconstruction

Reference 19

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Observation 6cac19f4-e8b3-4311-83d0-60297a22e05e · outbound

This paper cites Momentum contrast for unsupervised visual repre- sentation learning.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Momentum contrast for unsupervised visual repre- sentation learning

Reference 20

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Observation f21881e0-7771-4916-871f-e307a2429081 · outbound

This paper cites Masked autoencoders are scalable vision learners.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Masked autoencoders are scalable vision learners

Reference 21

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Observation 83296200-df8f-4ee5-9a96-089cc046b3aa · outbound

This paper cites High-resolution iterative feedback network for camouflaged object detection.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning High-resolution iterative feedback network for camouflaged object detection

Reference 22

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Observation 84305fa8-6c84-4f42-9b5d-18cfef05fe3d · outbound

This paper cites Feature shrinkage pyra- mid for camouflaged object detection with transformers.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Feature shrinkage pyra- mid for camouflaged object detection with transformers

Reference 23

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Observation 9878cf83-1ca8-4feb-9e33-93f24d5b60d5 · outbound

This paper cites A model of saliency-based visual attention for rapid scene analysis.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning A model of saliency-based visual attention for rapid scene analysis

Reference 24

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Observation ba6d297a-0cbd-4afa-924d-290c97581d27 · outbound

This paper cites Deep gradient learning for efficient camouflaged object detection.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Deep gradient learning for efficient camouflaged object detection

Reference 25

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Observation 15945e8b-c8b3-46ce-bfba-e04584506250 · outbound

This paper cites Learning to predict where humans look.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Learning to predict where humans look

Reference 26

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Observation 68988cb5-8903-46bf-9ba9-bdc5d0e954b7 · outbound

This paper cites Camoteacher: Dual-rotation consistency learning for semi-supervised camouflaged object detection.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Camoteacher: Dual-rotation consistency learning for semi-supervised camouflaged object detection

Reference 27

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Observation fbd80013-ee00-4921-bb33-884a9290c989 · outbound

This paper cites an unresolved cited work.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Unresolved cited work

Reference 28

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Observation 5c8dd061-73f3-42f1-9e35-c1c09a018ca7 · outbound

This paper cites Weakly supervised open-vocabulary object detection.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Weakly supervised open-vocabulary object detection

Reference 29

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Observation 5110ecab-feb5-45a1-b2f1-34364da767a0 · outbound

This paper cites Camouflaged instance segmentation via explicit de-camouflaging.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Camouflaged instance segmentation via explicit de-camouflaging

Reference 30

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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 d6d7ad55-9be2-4b6c-8a31-ac9a0d1bf327 · outbound

This paper cites How to evaluate foreground maps? In The IEEE/CVF Computer Vision and Pattern Recognition Conference, pages 248–255,.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning How to evaluate foreground maps? In The IEEE/CVF Computer Vision and Pattern Recognition Conference, pages 248–255,

Reference 31

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Source-reported events for the cited work

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Observation 34294787-34ef-4d65-b154-da6e80534c6b · outbound

This paper cites Deep spectral methods: A surprisingly strong baseline for unsupervised semantic segmentation and local- ization.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Deep spectral methods: A surprisingly strong baseline for unsupervised semantic segmentation and local- ization

Reference 32

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Observation 58ab3248-b187-457f-8be0-eae5c3b003cc · outbound

This paper cites Active teacher for semi-supervised object detection.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Active teacher for semi-supervised object detection

Reference 33

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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 7539b543-887d-4874-9470-d95a01599ead · outbound

This paper cites Deepusps: Deep robust unsupervised saliency prediction via self-supervision.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Deepusps: Deep robust unsupervised saliency prediction via self-supervision

Reference 34

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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.

source=pdf_text observed=2026-08-07T05:50:20.863730Z digest=sha256:3fb884e9b809c632e8e281e531c1b517e2d767359581ebb64cbaf52221df44b8

Observation 42fd397d-da0a-486d-9f7d-d4158837c519 · outbound

This paper cites Unsupervised learning of visual representations by solving jigsaw puzzles.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Unsupervised learning of visual representations by solving jigsaw puzzles

Reference 35

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raw_fallback, observed 2026-08-07T05:50:21.388130Z

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=2026-08-07T05:50:20.867465Z digest=sha256:9bfeea82bb454c6339b1600bb3e90cdd716ab40461f4106a744e3883479b7596

Observation 915b1b41-67e3-4c7b-afe8-63279e35b7e5 · outbound

This paper cites an unresolved cited work.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Unresolved cited work

Reference 36

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unresolved
no resolver link, observed 2026-08-07T05:50:20.871494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:20.871494Z digest=sha256:22fa12da80d894a503d299cef3d7fa52d25132e783c58d8fba3b8b14bdcbfd23

Observation 1af5a923-0458-4f2f-8bfb-1a8519a056e1 · outbound

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

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Zoom in and out: A mixed-scale triplet network for camouflaged object detection

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:21.371512Z

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=2026-08-07T05:50:20.876286Z digest=sha256:8f9f97de7959b61bb68fa17340b3b4a7dcb615b736aad60604e42a65c52aa893

Observation 399ac297-bc75-413d-9ef2-cb21d78b442b · outbound

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

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Zoomnext: A unified collaborative pyramid network for camouflaged object detection

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:21.359716Z

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=2026-08-07T05:50:20.879567Z digest=sha256:c957bc4ed649b0f792a7ffa26ed40fd6b337c4dc4ed698009ae633064666ac98

Observation cc9473ea-7aca-466a-9a59-e744d5875a34 · outbound

This paper cites Saliency filters: Contrast based filtering for salient region detection.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Saliency filters: Contrast based filtering for salient region detection

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:21.348328Z

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=2026-08-07T05:50:20.882787Z digest=sha256:bffc994ddb83fb7a6b799273b614f4f4188da2723a00a0c761b1724596a5331e

Observation 2d6e76ec-e571-4d9e-b94c-251a5be72d1a · outbound

This paper cites Improving language understanding by genera- tive pre-training.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Improving language understanding by genera- tive pre-training

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:21.337357Z

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=2026-08-07T05:50:20.886090Z digest=sha256:0b62639b07392e9307ee294f3155e6db74682421e09f5427cdc3f9ac9d60006b

Observation 697f778f-4184-4f54-995e-ab2f370fd9a9 · outbound

This paper cites Language models are unsuper- vised multitask learners.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Language models are unsuper- vised multitask learners

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T05:50:20.889396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:20.889396Z digest=sha256:a49d8542cc43763c0dbd81bfe5ecab79ef1162cbe00e85fe0ed9767a38d708e9

Observation 5aa6832b-e90d-425a-bd09-faece6e8b955 · outbound

This paper cites Deep texture-aware features for camouflaged object detec- tion.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Deep texture-aware features for camouflaged object detec- tion

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:21.321475Z

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=2026-08-07T05:50:20.892839Z digest=sha256:f9986f892542073e5dc068a7038292c745bcbe4240e18e4ac34db1e56933a11c

Observation e9c9b349-72ae-40e5-a227-86f472b4a72a · outbound

This paper cites Unsuper- vised salient object detection with spectral cluster voting.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Unsuper- vised salient object detection with spectral cluster voting

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:21.310561Z

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=2026-08-07T05:50:20.896240Z digest=sha256:5990d41fca10ecc2b2fdec9aa8003427c2656019cfeb57f560020d8588403490

Observation 32abdfac-7707-4b88-a026-d2cfe8a18cd9 · outbound

This paper cites Unsupervised object local- ization: Observing the background to discover objects.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Unsupervised object local- ization: Observing the background to discover objects

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:21.301087Z

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=2026-08-07T05:50:20.899811Z digest=sha256:cbfaf810a630164301d8490819241ad5e49de5a29b8fb141bfc4de0ba1f5785b

Observation 974673fb-b1e8-4c6a-b108-6cf499704580 · outbound

This paper cites Edge-aware mirror network for camouflaged object detection, 2023.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Edge-aware mirror network for camouflaged object detection, 2023

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:21.291515Z

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=2026-08-07T05:50:20.903932Z digest=sha256:ff9dd2913d28c5757baf1a9823e2e977253c79c1fc285e989d217780747720cd

Observation 1544222c-afdb-4056-8dd9-f42f7edf0c62 · outbound

This paper cites Bert4rec: Sequential recommendation with bidirectional encoder representations from transformer.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Bert4rec: Sequential recommendation with bidirectional encoder representations from transformer

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:21.281422Z

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=2026-08-07T05:50:20.908060Z digest=sha256:204c402e92fb74878f8993cfa3162fb54a39c88212b93e276b91942dd4f70595

Observation 57157ae7-2879-43e8-b70a-9e6ddd8d0f96 · outbound

This paper cites Context-aware cross-level fusion network for camouflaged object detection.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Context-aware cross-level fusion network for camouflaged object detection

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:21.271661Z

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=2026-08-07T05:50:20.911511Z digest=sha256:ef11609e9f2baf99788effc4f57c8e495accd6d2eb15c3741f9ae6f6b2d51b48

Observation 0ace7c7a-e76e-4d7e-80f6-41fc8753d97d · outbound

This paper cites Boundary-guided camouflaged object detection.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Boundary-guided camouflaged object detection

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:21.260695Z

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=2026-08-07T05:50:20.915725Z digest=sha256:8b643cf4c4bdd3b57c62ecfef849d4d8733d87a49eb8402d217e1275e4b537fa

Observation 0d86e840-f8fe-4e40-af60-b98cecd09d83 · outbound

This paper cites Glconet: Learning multisource perception representation for camou- flaged object detection.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Glconet: Learning multisource perception representation for camou- flaged object detection

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:21.251480Z

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=2026-08-07T05:50:20.919908Z digest=sha256:36a16402dbbb2acd96f227fab1ebd3c3b7c1e67e641f0d8e7fb9ba56b8cf0eea

Observation 9be38f4b-0d0a-428c-ad40-41f7576de899 · outbound

This paper cites Segmentation-based deep-learning approach for surface-defect detection.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Segmentation-based deep-learning approach for surface-defect detection

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:21.241975Z

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=2026-08-07T05:50:20.923118Z digest=sha256:48cb98937c82e181b3ffe5e6ff22b8451f1c589ca1e056a23e01a678b7b556ee

Observation 01a24c24-62e5-476a-a905-6f7b23156bb6 · outbound

This paper cites Ob- ject segmentation without labels with large-scale generative models.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Ob- ject segmentation without labels with large-scale generative models

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:21.232127Z

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=2026-08-07T05:50:20.926352Z digest=sha256:399764ba1b27f3a87c715fdca9268aeb9a4eacf7ffc12b9add4c46ae4dee9e80

Observation b653cc9c-26d5-40e0-8c77-6d38f8982597 · outbound

This paper cites Depth-aided camouflaged object detection.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Depth-aided camouflaged object detection

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:21.221523Z

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=2026-08-07T05:50:20.930177Z digest=sha256:b2b20ca444d30fd9c29c6975453d30c327eb7787c71b7c56cf92f9878c842eca

Observation 03d7bd1c-3e86-4997-ad79-1511d64fa056 · outbound

This paper cites Self-supervised trans- formers for unsupervised object discovery using normalized cut.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Self-supervised trans- formers for unsupervised object discovery using normalized cut

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:21.211952Z

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=2026-08-07T05:50:20.933804Z digest=sha256:92a307c3898c8ba6e3afa81feb80160672defa5fc201759c171a3a217b1394b4

Observation be62919e-308d-42bb-a45c-0c493e70272e · outbound

This paper cites Geodesic saliency using background priors.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Geodesic saliency using background priors

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:21.200832Z

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=2026-08-07T05:50:20.938211Z digest=sha256:e8c06989b123a5c8d20e8eb3deb40f7ae85a75d7e0447546bca30222f1e25472

Observation b7b4fa77-3d22-4867-b743-d54aa2cf13e1 · outbound

This paper cites Vector-decomposed disentanglement for domain-invariant ob- ject detection.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Vector-decomposed disentanglement for domain-invariant ob- ject detection

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:21.191235Z

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=2026-08-07T05:50:20.941725Z digest=sha256:d49318a10c2c743a7b7bacc6592a535f02d2d711acbd60188d15f422bc195b80

Observation bdc6bcac-f683-4b18-92b6-edd56cfd9f16 · outbound

This paper cites Exploring depth contribution for camouflaged object detection, 2022.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Exploring depth contribution for camouflaged object detection, 2022

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:21.181690Z

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=2026-08-07T05:50:20.945052Z digest=sha256:dbdab409495f9a849762cfa94ded557ea8e55123bfe982acb90c878b7ea1829b

Observation 72b7f3b4-7eb2-4c82-b9af-779d86d864e3 · outbound

This paper cites Hierarchical saliency detection.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Hierarchical saliency detection

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:21.172153Z

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=2026-08-07T05:50:20.948450Z digest=sha256:7a106fbf92c877bfbc108cf03435496c3284807f26ee2d0ea12e2f44645f8eef

Observation d6e2719d-d4f2-4e39-875d-ab1c895fba0d · outbound

This paper cites Uncertainty-guided transformer reasoning for camouflaged object detection.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Uncertainty-guided transformer reasoning for camouflaged object detection

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:21.163062Z

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=2026-08-07T05:50:20.951958Z digest=sha256:3916572196a6e65407b748508b7c11fd830cbc7f25a79c0adb7c72c976c82259

Observation 21c862ec-d0a4-4c7c-97bd-cef8b001352a · outbound

This paper cites Hierarchical graph interaction transformer with dynamic token clustering for camouflaged object detection.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Hierarchical graph interaction transformer with dynamic token clustering for camouflaged object detection

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:21.153443Z

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=2026-08-07T05:50:20.955224Z digest=sha256:fac68538a8697998bd3767408c14875fad19f448a7bd0c61f2c8ae4bbdf37ecd

Observation 4c56c048-fc11-4b19-956b-bdea52d2d3a7 · outbound

This paper cites Camo- former: Masked separable attention for camouflaged object detection.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Camo- former: Masked separable attention for camouflaged object detection

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:21.143627Z

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=2026-08-07T05:50:20.958750Z digest=sha256:10f43a75ec2de2185d01afed2f7b17a7282b20c31ca871ce2da270342cdd224c

Observation 7a245a79-fcd9-48ac-a2eb-f79cd926b564 · outbound

This paper cites Mutual graph learning for cam- ouflaged object detection.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Mutual graph learning for cam- ouflaged object detection

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:21.134159Z

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=2026-08-07T05:50:20.962177Z digest=sha256:17250bccf83ce6d975cd4c05c5d3d19c611168db76073567f8e4c705875ff0ad

Observation f73a6cce-e50a-47f2-b3d7-c291f3b3fdab · outbound

This paper cites Deep unsupervised saliency detection: A multiple noisy labeling perspective.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Deep unsupervised saliency detection: A multiple noisy labeling perspective

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:21.122755Z

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=2026-08-07T05:50:20.965591Z digest=sha256:009e3fe6bc41186079aa3d7c179c6f4cfe53c62eaa86cd4f59690817697d1703

Observation 52b8d677-8cef-4746-8f4c-acf4122d9fe2 · outbound

This paper cites Unsupervised camouflaged object segmentation as domain adaptation.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Unsupervised camouflaged object segmentation as domain adaptation

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:21.111465Z

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=2026-08-07T05:50:20.969133Z digest=sha256:3feffcc0762d927d489dc1a114e672014f500d94f862fcba63013e47df9f49da

Observation a5d13ca7-7b98-49e4-9bed-d7d8c08288a5 · outbound

This paper cites Bilateral reference for high-resolution dichotomous image segmentation.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Bilateral reference for high-resolution dichotomous image segmentation

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:21.099901Z

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=2026-08-07T05:50:20.972469Z digest=sha256:baa1bedc902ce4a2f59367a3a01c8931d1d19b39634c105741258f81b2795e86

Observation 04b62f8d-2986-407b-a2b2-cd7cae93d07e · outbound

This paper cites Detecting camouflaged object in frequency domain.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Detecting camouflaged object in frequency domain

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:21.088556Z

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=2026-08-07T05:50:20.975886Z digest=sha256:62fe46e4b4cb00220a759aee40753b324d981eecc3d317c94615515ca7c3c9a3

Observation 65a8b46e-c238-4984-8719-dde709bd33d3 · outbound

This paper cites I can find you! boundary-guided separated attention network for camou- flaged object detection.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning I can find you! boundary-guided separated attention network for camou- flaged object detection

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:21.077491Z

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=2026-08-07T05:50:20.979274Z digest=sha256:ab463632fd5dd6705604cd813cb2d728b2439c776710d45e66f8809546cf4450

Observation 61b2de60-42b9-4ca8-a223-c8c6ed99eede · outbound

This paper cites Inferring camouflaged objects by texture-aware interactive guidance network.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Inferring camouflaged objects by texture-aware interactive guidance network

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:21.065983Z

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=2026-08-07T05:50:20.982605Z digest=sha256:8827d91965a747bce67e56830d81e896018e012cef8eb6bef2bbdaeda10326c9

Observation 1ee1d4d5-44d7-4953-ba17-3971c42e0044 · outbound

This paper cites Saliency optimization from robust background detection.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Saliency optimization from robust background detection

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:21.055574Z

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=2026-08-07T05:50:20.986448Z digest=sha256:1dd23131662aeac5672433ce7702beae76413030dc4b918f203787bea4061721

Observation 0d1d66f4-3b24-4dc1-b484-0d159ec2db53 · outbound

This paper cites Cubenet: X-shape connection for camouflaged object detection.

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning Cubenet: X-shape connection for camouflaged object detection

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:21.043693Z

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=2026-08-07T05:50:20.989958Z digest=sha256:65f745646f9c770fc796d90af73274b79030b861cee234d6bc6bdadc5edec248

Pith citing papers

No inbound Pith citation observations are available.