UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning | Paper Citation Record

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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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:21.675459Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:21.653240Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:21.632079Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:21.610505Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:21.600081Z

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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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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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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:21.572742Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:21.562623Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:21.541040Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:21.529410Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:21.518185Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:21.486128Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:21.475926Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:21.443694Z

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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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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:21.421757Z

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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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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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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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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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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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