Pith. sign in

Paper Citation Record · LEDGER

RUN: Reversible Unfolding Network for Concealed Object Segmentation

As of 10 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 5 inbound Pith citation observations for arXiv:2501.18783.

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

pith.paper-citation-record.v1
2501.18783 v2

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T22:35:00.655652Z

measured 74 of 74 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:29:05.615079Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T22:34:02.629761Z

Reference resolution

69 of 69 outbound references displayed

  • verified exact0
  • verified fuzzy60
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2ab35673-cb6a-45b3-a737-c6c79c63cd15 · outbound

This paper cites Recurrent multi-scale transformer for high-resolution salient object detection.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Recurrent multi-scale transformer for high-resolution salient object detection

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.685634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.369320Z digest=sha256:ac77f153ebd066b8c76c96bdc3e3fa9d0fe229587bd12e9f42258ebd22b88952

Observation d3b58843-582f-49aa-b98a-bd1f669e4165 · outbound

This paper cites Polyp-pvt: Polyp segmentation with pyramid vision transformers.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Polyp-pvt: Polyp segmentation with pyramid vision transformers

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.671403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.374787Z digest=sha256:85bbee4b6eb87d63339b3e46e748d5255f3f2d65d57d94611dd3a53c80b410ec

Observation 9a4c5706-fdb2-4bc1-a484-2727f4a0abb1 · outbound

This paper cites K., Winn, J., and Zisserman, A.

RUN: Reversible Unfolding Network for Concealed Object Segmentation K., Winn, J., and Zisserman, A

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.656786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.379993Z digest=sha256:a1d8a568d5e2c6ab21f7fafffbbbe40ec3020fbe4bdfa68516c04889e3a8bdd8

Observation e372750c-ae66-4d05-b251-9e81461615d9 · outbound

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

RUN: Reversible Unfolding Network for Concealed Object Segmentation Structure-measure: A new way to evaluate foreground maps

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.636804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.385026Z digest=sha256:05a6cd73beec11883513145b518a0fbfa54fb9562b297bef01d2cf90fb834c77

Observation 7c56239f-bac9-435a-8781-ad185f385752 · outbound

This paper cites Camouflaged object detection.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Camouflaged object detection

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.622404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.389420Z digest=sha256:6cc125d6560416771e68b10310edb9b2beb8ed6357bf997c21a05119a837fb2d

Observation b3388314-cce4-49da-a378-8acb10542142 · outbound

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

RUN: Reversible Unfolding Network for Concealed Object Segmentation Pranet: Parallel reverse attention network for polyp segmentation

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.608866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.393431Z digest=sha256:1ce00961275a7dd2dac551eeb25599f52570093861e753a6b747125a1cc64f6a

Observation 68b14d86-b15e-4b71-8783-3d2e1b597eb3 · outbound

This paper cites Concealed object detection.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Concealed object detection

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.590729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.398024Z digest=sha256:b103220bd65c1400155d349ab75acf30dbdae90bc64a48551e0efb442fd10023

Observation a232d521-f527-439e-83d5-6626a1a627a9 · outbound

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

RUN: Reversible Unfolding Network for Concealed Object Segmentation Cognitive vision inspired object segmentation metric and loss function

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.575341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.405188Z digest=sha256:19abe53fbed8a4eb9e396f51c5e09306ff345eb0a42b3eb335f7421e6ed87ba2

Observation 0ea5b61e-39c1-40b3-95e8-aa52e7a93a66 · outbound

This paper cites Advances in deep concealed scene understanding.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Advances in deep concealed scene understanding

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.558898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.409668Z digest=sha256:0ca5d1cac2cf707176dde8a5c4de7186ac860c532b267b9b2bb6695d239d73f1

Observation d5229738-54ac-48d3-aa0e-fcb331734d49 · outbound

This paper cites Rfenet: towards reciprocal feature evolution for glass segmentation.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Rfenet: towards reciprocal feature evolution for glass segmentation

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.535072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.413750Z digest=sha256:64652d7d850d4532dc861cb1048815e68bcc41ebfc97cfa371765cc6eb97343f

Observation 32e65734-9988-4a26-863a-fcfa479a46e0 · outbound

This paper cites Reti-Diff: Illumination Degradation Image Restoration with Retinex-based Latent Diffusion Model.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Reti-Diff: Illumination Degradation Image Restoration with Retinex-based Latent Diffusion Model

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-09T22:35:00.417841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T22:35:00.417841Z digest=sha256:59a1977ffc27a7300a054edb011105adba3d8888060bedc692fc6ff08f3c965e

Observation 47d978f7-112b-4814-b034-6fa7d3a1f368 · outbound

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

RUN: Reversible Unfolding Network for Concealed Object Segmentation Real-world image dehazing with coherence-based label generator and cooperative unfolding network

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.506265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.422314Z digest=sha256:43c3a371b0bcc26f2f5fdc4eb4c81a3023fff1a1bf6298f10e56b5a335ef91c9

Observation 5fc4b2bd-81b0-4534-9b24-c74654bbf323 · outbound

This paper cites Res2net: A new multi-scale backbone architecture.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Res2net: A new multi-scale backbone architecture

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.493874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.426038Z digest=sha256:fc5ce94021ecf286801dd99b9c86fef9eb172b41fd61f10a4cf2e3e9101f1a86

Observation 0d80fc61-202c-4cf3-b5d8-158ee19c95ae · outbound

This paper cites an unresolved cited work.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-09T22:35:01.481396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.429649Z digest=sha256:f17c3ee464c7bc40ce4befab958e881749351e49056fe5f0830bf5b1e63bdaca

Observation e1ce7074-86e7-4c5f-8446-f90abfbcf5a5 · outbound

This paper cites Topology-aware uncertainty for image segmentation.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Topology-aware uncertainty for image segmentation

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.469740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.432864Z digest=sha256:c33f8bb2f74245ada4f168f013fb39e771408db9ac3b48ea477d17474b2987a5

Observation 5c1080bb-bb38-4d2b-a6e3-cae735c0e193 · outbound

This paper cites Internal-External Boundary Attention Fusion for Glass Surface Segmentation.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Internal-External Boundary Attention Fusion for Glass Surface Segmentation

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-09T22:35:00.436010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T22:35:00.436010Z digest=sha256:87450794471ea37e388cec9c4020167b8c31517ffbe75e1c2a6d885af00f9323

Observation 99c8b28a-b71b-4ac0-8de1-d4fe21696f81 · outbound

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

RUN: Reversible Unfolding Network for Concealed Object Segmentation Degradation-resistant unfolding network for heterogeneous image fusion

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.457610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.439585Z digest=sha256:5d326fef526aadb841776a5d45d13e4a0166a2fdd96979e7c0ea5521d9a00501

Observation 3fbc7010-d510-4576-8015-59db2514ec6d · outbound

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

RUN: Reversible Unfolding Network for Concealed Object Segmentation Camouflaged object detection with feature decomposition and edge reconstruction

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.445865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.443844Z digest=sha256:d9b650e1b2253fd9335858f5a20d37172751801e9d944f4280aa3632d51ebeb8

Observation b8c3541b-bbf6-4d72-9c65-ae22efcf6d67 · outbound

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

RUN: Reversible Unfolding Network for Concealed Object Segmentation Weakly-supervised concealed object segmentation with sam-based pseudo labeling and multi-scale feature grouping

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.434516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.447523Z digest=sha256:a6a3ed973781e78b9bf4f4f382092f3554d1fc40567bb94b67abe8e5651cac00

Observation 89d40b0b-77ff-4644-8703-9b33d1ac4c38 · outbound

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

RUN: Reversible Unfolding Network for Concealed Object Segmentation Strategic preys make acute predators: Enhancing camouflaged object detectors by generating camouflaged objects

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.422048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.451214Z digest=sha256:0306b452c64993929d109586d7ae3a72fdd2527e794b91973e10a17d88560239

Observation 35eec312-3a4a-4618-9abc-a3525996fe55 · outbound

This paper cites Enhanced boundary learning for glass-like object segmentation.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Enhanced boundary learning for glass-like object segmentation

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.409098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.455211Z digest=sha256:2cf1f21ac63b1ef2f6f3d4e6baecd91b1986b5fc2799bdd9abd542f899519e8d

Observation f4b0f95d-290f-43a2-b77b-cfd84ab88f25 · outbound

This paper cites Deep residual learning for image recognition.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Deep residual learning for image recognition

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-09T22:35:00.458577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T22:35:00.458577Z digest=sha256:bc174e6be493a2637469a96d877d49a83dfa736081f24b2f9c6118ef6223b2b8

Observation d45ca7ab-9e61-44a3-a352-885665e13232 · outbound

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

RUN: Reversible Unfolding Network for Concealed Object Segmentation High-resolution iterative feedback network for camouflaged object detection

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.280298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.462516Z digest=sha256:e6e8a70cd874c29ddaf09dfd991db5ddda9862e8b1350a0a697d6098253ef42e

Observation a91ccc60-ae95-4650-8250-efef8e2f30de · outbound

This paper cites Representing topological self-similarity using fractal feature maps for accurate segmentation of tubular structures.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Representing topological self-similarity using fractal feature maps for accurate segmentation of tubular structures

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.268850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.466305Z digest=sha256:078aeb9f94a8276289fc0c74dcef1f70a47ebc0c58a6307708d7b6935f0f6d90

Observation 1985a353-3808-4164-a45f-35c91f1be9e1 · outbound

This paper cites Coinnet: A convolution-involution network with a novel statistical attention for automatic polyp segmentation.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Coinnet: A convolution-involution network with a novel statistical attention for automatic polyp segmentation

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.256906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.470548Z digest=sha256:886fd2bbf7756f9b3306d335899ee7397dacb41c5598c4dabba74e9084b235a6

Observation 0d97fd4c-f0ad-4b92-91f7-e89f4b90f70e · outbound

This paper cites Segment, magnify and reiterate: Detect camouflaged objects hard way.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Segment, magnify and reiterate: Detect camouflaged objects hard way

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.246191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.475241Z digest=sha256:318905fc20e211ebf51a018f10369292419fce645b5da6b8999b7b59734648e0

Observation 9b857b34-57ff-491b-be5c-bcaa1a9b65ad · outbound

This paper cites Camofocus: Enhancing camouflage object detection with split-feature focal modulation and context refinement.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Camofocus: Enhancing camouflage object detection with split-feature focal modulation and context refinement

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.234411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.479670Z digest=sha256:8632f16f65a61992c404191cee91b0ee6afa46ebb290a2be3fefa4da5f9ecf6c

Observation 0ec51fdf-2400-44ef-94b8-e11f2058cbc6 · outbound

This paper cites V., Nie, Z., Tran, M.-T., and Sugimoto, A.

RUN: Reversible Unfolding Network for Concealed Object Segmentation V., Nie, Z., Tran, M.-T., and Sugimoto, A

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.222155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.483805Z digest=sha256:cf444312ceaa82cc80cb2c8858d5eb745bb7ef0258e5eb599a32232626b92cea

Observation 072dcbe4-96bd-4f07-bdf7-58cdfc239b74 · outbound

This paper cites and Yu, Y.

RUN: Reversible Unfolding Network for Concealed Object Segmentation and Yu, Y

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.210806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.487678Z digest=sha256:e5576edbe8f89c625d88dece4057ebe72336dd29ff1984731fc174eef53cae00

Observation 9522ba76-a626-4358-a7b9-9262bb81e667 · outbound

This paper cites M., and Yuille, A.

RUN: Reversible Unfolding Network for Concealed Object Segmentation M., and Yuille, A

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.199663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.491897Z digest=sha256:301a728bff2c1735f404a416892c5142e802a7b0b940f6183c1c3ef74809ba96

Observation dcf1f38f-e47c-4846-b969-338afe370995 · outbound

This paper cites and He, Z.

RUN: Reversible Unfolding Network for Concealed Object Segmentation and He, Z

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.188803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.496056Z digest=sha256:0bb76471d2701701bf5c479ad968b1951dd6549af64a964f2a74b3659b1e97d6

Observation cb2523d5-cbe8-4afa-9b4d-f8f12c58ff5c · outbound

This paper cites Stimulus-guided adaptive transformer network for retinal blood vessel segmentation in fundus images.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Stimulus-guided adaptive transformer network for retinal blood vessel segmentation in fundus images

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.177569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.500028Z digest=sha256:cba850184c657f5de7135d7e3e0faaf3623387f9fa3518117f3d32e5b3ea2622

Observation a25950a5-741a-4dfa-935d-64ced20f6ba8 · outbound

This paper cites Visual saliency transformer.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Visual saliency transformer

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.165531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.508051Z digest=sha256:fb8c517ce2d5b6f058b5665921b1491daeaa3216a3873ab7c33e7487374861e6

Observation 5c381eee-8c72-4029-a1b1-4392f9ece3d6 · outbound

This paper cites Vst++: Efficient and stronger visual saliency transformer.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Vst++: Efficient and stronger visual saliency transformer

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.153949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.515831Z digest=sha256:25551d75ef8c624cb07b699da12fa7eea2c1a8b218892402784805a77674b474

Observation 0b4469fb-663b-49c2-9a5f-2a49af4ed1f4 · outbound

This paper cites Vmamba: Visual state space model.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Vmamba: Visual state space model

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.142768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.520369Z digest=sha256:260fb41d4e24f385c0b1f18cf6df309ab3e85237077c078b10dc2a181644aed7

Observation aea5f9e4-0e64-4018-9241-941803e4a08a · outbound

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

RUN: Reversible Unfolding Network for Concealed Object Segmentation Simultaneously localize, segment and rank the camouflaged objects

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.130599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.524646Z digest=sha256:9eca95a3390c27d34646d307da2019e087b5f86509f837a5e80e468405950196

Observation 3a2f2e5e-21ba-4321-9a83-267278fa7aa5 · outbound

This paper cites Structure and illumination constrained gan for medical image enhancement.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Structure and illumination constrained gan for medical image enhancement

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.115328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.528727Z digest=sha256:b2d8dc1de07e8f3319edbdea07fb047d4454b7300c41249b885397b927e439d1

Observation d8ed803e-890a-4b00-bd91-0147d3b65925 · outbound

This paper cites How to evaluate foreground maps? In CVPR, pp.\ 248--255, 2014.

RUN: Reversible Unfolding Network for Concealed Object Segmentation How to evaluate foreground maps? In CVPR, pp.\ 248--255, 2014

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.103359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.532720Z digest=sha256:ca7a20fff63cdb831ab062bfc439aae8f681225371e6ab78afc04fd4aefb9f93

Observation 8f8e8b30-abe0-47a0-b598-23655c0cde1c · outbound

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

RUN: Reversible Unfolding Network for Concealed Object Segmentation Don't hit me! glass detection in real-world scenes

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.090745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.536575Z digest=sha256:e61310fd55b4776783333379bfd2f43daf84c4b6157de1591c23772ad29ae4e9

Observation 5dfeea67-f66d-42ce-a946-b5167ff71459 · outbound

This paper cites an unresolved cited work.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-09T22:35:01.077046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.540525Z digest=sha256:27da3a6fd74487da21000cc562c2cb49063c95e40a503f1256d23a806fc22b5c

Observation cd6e0566-f885-4a66-8afa-dae185ff6d88 · outbound

This paper cites F., et al.

RUN: Reversible Unfolding Network for Concealed Object Segmentation F., et al

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.059454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.544014Z digest=sha256:f547e1d4c95d1476138721d2acd24bacd2aa3a945b594bfd38fe459d6b60c1cc

Observation 7e443042-0cb9-4b44-ab7a-210532882d96 · outbound

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

RUN: Reversible Unfolding Network for Concealed Object Segmentation Zoom in and out: A mixed-scale triplet network for camouflaged object detection

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.047124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.548504Z digest=sha256:a390bb5d9fcf50e6bc9da1b518041f2bcde9fa039bcc606e8e85ba3597f5067d

Observation 05063b02-9c90-4d7e-b7f3-5c8f79b06355 · outbound

This paper cites Dynamic snake convolution based on topological geometric constraints for tubular structure segmentation.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Dynamic snake convolution based on topological geometric constraints for tubular structure segmentation

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.035156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.552524Z digest=sha256:bbeb2ab15f77b1d03986b7844d98c5b73b2f10e9ccaaaa9a75490c4b4517a46a

Observation cac443d0-5f92-4392-84c0-e8317bb0e514 · outbound

This paper cites an unresolved cited work.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-09T22:35:01.022787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.556634Z digest=sha256:40e20b8343aef98fc2bd7fb181c5005fcb8243013bcd82cdb4ad6a15c521299c

Observation e7c2d806-f7b6-4f65-9cb2-519aba2ae77f · outbound

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

RUN: Reversible Unfolding Network for Concealed Object Segmentation Toward embedded detection of polyps in wce images for early diagnosis

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.010381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.561019Z digest=sha256:4a096f3705447315840398806429f52daeba52a773d805f9166a166167e7a477

Observation c26da0b8-0bce-461e-bac0-c8dbcc3281b3 · outbound

This paper cites Animal camouflage analysis: Chameleon database.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Animal camouflage analysis: Chameleon database

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:00.998521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.565446Z digest=sha256:afc183127d7d9d1fc09726f2d15d711c4d9d690348cb24061251aa71aa3a95cc

Observation 9ff36a8e-1aa2-45b7-9423-a3d64fc896a1 · outbound

This paper cites Frequency-spatial entanglement learning for camouflaged object detection.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Frequency-spatial entanglement learning for camouflaged object detection

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:00.986907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.569297Z digest=sha256:745e93178ec95789084ac9552500ca0a5261ca19f66d3aced945b15d06338333

Observation f4bf5c56-b1f3-48b8-b64d-0390c09f9598 · outbound

This paper cites R., and Liang, J.

RUN: Reversible Unfolding Network for Concealed Object Segmentation R., and Liang, J

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:00.974758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.573382Z digest=sha256:c028d140f141b9a84dac3ed15f65c33fd6099113517c564a9ccbe0dc815bb2bf

Observation dd3c76e5-7237-4fcc-a02d-cf97d77438a8 · outbound

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

RUN: Reversible Unfolding Network for Concealed Object Segmentation Learning to detect salient objects with image-level supervision

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:00.963610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.577218Z digest=sha256:579e8129e7cf7d0e4cee41c93596d5f9dcf83a6736efb30d43ccf9988a94e2c7

Observation e28b67e3-9a40-45a7-a81c-ee37172e0da7 · outbound

This paper cites Pvt v2: Improved baselines with pyramid vision transformer.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Pvt v2: Improved baselines with pyramid vision transformer

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:00.953057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.581772Z digest=sha256:3d443a358314de9575519d41acb127fbcd791c1676c9e9311eb0b48af0401e9c

Observation 286f0b28-d124-43cb-97a3-bbeb3bd2dc71 · outbound

This paper cites Lssnet: A method for colon polyp segmentation based on local feature supplementation and shallow feature supplementation.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Lssnet: A method for colon polyp segmentation based on local feature supplementation and shallow feature supplementation

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:00.941306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.585738Z digest=sha256:3da6e5279fac63926d5dee82c0355c2dc14bbc4c493283e60786e257b423cf02

Observation 4a415e70-5a84-4ff3-8c71-1855bca0b610 · outbound

This paper cites Image threshold segmentation based on glle histogram.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Image threshold segmentation based on glle histogram

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:00.929456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.589342Z digest=sha256:0170b5fb69380c4edaf6711f8f588b962fbd931be1c7eef8d48bc745bbbb610a

Observation 493ae53e-b8d2-46f9-bd84-ddb6fec967af · outbound

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

RUN: Reversible Unfolding Network for Concealed Object Segmentation Pixels, regions, and objects: Multiple enhancement for salient object detection

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:00.918330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.593388Z digest=sha256:bd29f1d00bc1c55b26c499132eb395a848601e23444fdfb8739889fbf986a2eb

Observation 4d4f4d17-a237-4d51-8473-f9f789655df8 · outbound

This paper cites Concealed object segmentation with hierarchical coherence modeling.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Concealed object segmentation with hierarchical coherence modeling

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:00.905833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.597429Z digest=sha256:2b292545548094cf98add55d18fcb6cf502158e1de8873ab50267149c0597fff

Observation fd104ff2-42f1-4838-b383-ca541f644aef · outbound

This paper cites A Survey of Camouflaged Object Detection and Beyond.

RUN: Reversible Unfolding Network for Concealed Object Segmentation A Survey of Camouflaged Object Detection and Beyond

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-09T22:35:00.601384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T22:35:00.601384Z digest=sha256:1f48a648be3c99de57b6b3f00b63b74f866875d09cd1a2155b964c30893a67cc

Observation 967f91b2-3b36-404f-9085-cf0cb60218cd · outbound

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

RUN: Reversible Unfolding Network for Concealed Object Segmentation Pyramid grafting network for one-stage high resolution saliency detection

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:00.893375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.605622Z digest=sha256:47020d35500dfe720f7c7000052f6729185133d8422087ac94a2d9af8bc99850

Observation 5d7c0562-dae6-4219-a946-32b67e970d83 · outbound

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

RUN: Reversible Unfolding Network for Concealed Object Segmentation Hqg-net: Unpaired medical image enhancement with high-quality guidance

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:00.882144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.609097Z digest=sha256:0b3d780f0433ec7c740accdd430cd89d45f4a7bc8dd20fad82719b181c3a53b5

Observation 144948ff-9a4d-4c76-99b7-5a6bc2c2548c · outbound

This paper cites Hierarchical saliency detection.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Hierarchical saliency detection

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:00.869423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.613201Z digest=sha256:60b9b8693fec463b2fcb11097f920aeb4627ef2e8150b90ab87894d6b2227c67

Observation 4a597566-d852-4da4-ad71-03dc44f2590d · outbound

This paper cites an unresolved cited work.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-09T22:35:00.857828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.617098Z digest=sha256:21fb4f37088e4337a4a9cebf8809c8694c5721f5c4c8472230b552be19ae1fa8

Observation bde36e57-8838-4933-99bc-1d157a0dcc24 · outbound

This paper cites Saliency detection via graph-based manifold ranking.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Saliency detection via graph-based manifold ranking

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:00.845105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.621058Z digest=sha256:6ce92f00066a97f400a248b570131ddafd6c1d39a955ef7b57cd980c90e4ad88

Observation 04d0a110-8ed6-4d7e-b429-9555d321d275 · outbound

This paper cites Oaformer: Occlusion aware transformer for camouflaged object detection.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Oaformer: Occlusion aware transformer for camouflaged object detection

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:00.832843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.625172Z digest=sha256:1542fc3ffe0e167aeff17f58913b0aa4c8f5c1ba4d895fa114efe96e2450db98

Observation 97c4dd9b-c86c-4624-a49f-d0dd01528fd6 · outbound

This paper cites Gponet: A two-stream gated progressive optimization network for salient object detection.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Gponet: A two-stream gated progressive optimization network for salient object detection

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:00.822297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.629169Z digest=sha256:1f812018665212cf2aa97136a9e461f59abeede68c9a37d7c4d6aace9080dc72

Observation c6120dee-46a7-49cc-891e-0cdf35663901 · outbound

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

RUN: Reversible Unfolding Network for Concealed Object Segmentation Camoformer: Masked separable attention for camouflaged object detection

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:00.810695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.633192Z digest=sha256:9dbee6a04c5d52c92ddf81ddea4dbe21d1391e47b67024cb6efda6d40d16a36d

Observation 4b93b0c9-53dc-4928-8e23-fe4e69005a41 · outbound

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

RUN: Reversible Unfolding Network for Concealed Object Segmentation Exploring figure-ground assignment mechanism in perceptual organization

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:00.797487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.637086Z digest=sha256:dceac2746b781de0338a21ad8f672724b3b618a1f84e97cbf4fb36fc4a7011c0

Observation bc5e344b-8192-4ed6-b212-76bc1e525f87 · outbound

This paper cites Focusdiffuser: Perceiving local disparities for camouflaged object detection.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Focusdiffuser: Perceiving local disparities for camouflaged object detection

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:00.785197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.640828Z digest=sha256:737f5688a5f51ebaa3a688859666978ecbd7714be53b3a607fc927bbefea177f

Observation 53c76917-f9c9-45d0-a2f2-450ebd629348 · outbound

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

RUN: Reversible Unfolding Network for Concealed Object Segmentation Bilateral reference for high-resolution dichotomous image segmentation

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:00.770335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.644769Z digest=sha256:80d962e032eb4bff643de205807cd0ea9b8e34f2d78defdbedc1be05257a40ad

Observation fae816b7-273e-4b3f-94d1-8e1208e49baf · outbound

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

RUN: Reversible Unfolding Network for Concealed Object Segmentation I can find you! boundary-guided separated attention network for camouflaged object detection

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:00.756546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.648414Z digest=sha256:d34f2c64e850e41f8011e95040f97d26867260cf3bb0b3108491e5752b06fd16

Observation 04916862-eac6-475a-9112-bd090353a9c9 · outbound

This paper cites Salient object detection via integrity learning.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Salient object detection via integrity learning

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:00.740739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.652015Z digest=sha256:06f65a44a05f9e801e60d1c43e63e139176b4e4fbfa30c5e9fe729574cbc6228

Observation ff064d09-a909-409d-b03f-68669c72587d · outbound

This paper cites write newline.

RUN: Reversible Unfolding Network for Concealed Object Segmentation write newline

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-09T22:35:00.655652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T22:35:00.655652Z digest=sha256:c2c2dd35148064e5f1bc56aa45ced4e1a2da82b997c5aef5ebf2091cf12435ef

Pith citing papers

Observation 4ed58d5b-648d-4316-9d96-74bd34438225 · inbound

Track Any Anomalous Object: A Granular Video Anomaly Detection Pipeline cites this paper.

Track Any Anomalous Object: A Granular Video Anomaly Detection Pipeline RUN: Reversible Unfolding Network for Concealed Object Segmentation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:05.615079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:05.615079Z digest=sha256:dc941e909c5132d95c7007a041e2a70cd5633be21dece4a7fe75b6690085be26

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

Segment Concealed Objects with Incomplete Supervision cites this paper.

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

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T05:03:58.570259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:03:58.570259Z digest=sha256:5a084491c1196c9ab4e1c234ad71aacd10b755dc979374fc8568e23a4c9a088c

Observation df5c1220-3a26-4078-ba24-e996e4d35d77 · inbound

Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement cites this paper.

Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement RUN: Reversible Unfolding Network for Concealed Object Segmentation

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T04:27:20.227441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:27:20.227441Z digest=sha256:18fe23eb5445745f81194300c2025ae925888cc39a7db2b5dc6d02ec640d1027

Observation 5d1f3569-20ad-48ac-b7e0-e37acd35ff58 · inbound

UnfoldLDM: Degradation-Aware Unfolding with Iterative Latent Diffusion Priors for Blind Image Restoration cites this paper.

UnfoldLDM: Degradation-Aware Unfolding with Iterative Latent Diffusion Priors for Blind Image Restoration RUN: Reversible Unfolding Network for Concealed Object Segmentation

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-17T05:49:08.169478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-17T05:48:39.717268Z digest=sha256:3fbc71f2c6198dc93dcb6b6e18d500bf0e3d98327a1938f6fdc2912eb1adb298

Observation c0adf6a0-6220-4cd7-b053-fc6bc5b058c0 · inbound

Hierarchical Consistency Learning for Test-time Adaptation in Camouflage Perception cites this paper.

Hierarchical Consistency Learning for Test-time Adaptation in Camouflage Perception RUN: Reversible Unfolding Network for Concealed Object Segmentation

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-06-29T22:34:02.633861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T22:24:08.893654Z digest=sha256:2758734d019da3c74281ab07ce8052fe0d93c0a744753edf03efe9eb031b8cba