Paper Citation Record · LEDGER

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement

As of 8 August 2026, this Paper Citation Record lists 99 of 99 outbound references and 6 inbound Pith citation observations for arXiv:2508.15027.

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

pith.paper-citation-record.v1
2508.15027 v1

Coverage vector

measured 99 of 99 reference resolution

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measured 105 of 105 standing notices

One-hop event checks from named stored sources.

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measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T20:20:47.183401Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:37:22.595648Z

Reference resolution

99 of 99 outbound references displayed

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External citation measurements

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Outbound references

Observation cbb90bab-8fdb-4760-b034-45e41709f65f · outbound

This paper cites Focus- diffuser: Perceiving local disparities for camouflaged object detection,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Focus- diffuser: Perceiving local disparities for camouflaged object detection,

Reference 1

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Observation a28328b6-17b5-49bb-82f7-2cbafc13ca22 · outbound

This paper cites Conditional diffusion models for camouflaged and salient object detection,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Conditional diffusion models for camouflaged and salient object detection,

Reference 2

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Observation 74417e2a-4cb7-4bf2-862c-149abab6daa7 · outbound

This paper cites Run: Reversible unfolding network for concealed object segmentation,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Run: Reversible unfolding network for concealed object segmentation,

Reference 3

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Observation d01efff6-d1a7-4d01-9073-1c04512a2ba1 · outbound

This paper cites Camouflaged object detection,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Camouflaged object detection,

Reference 4

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Observation 67e3ad59-5ba0-4a66-9f9e-5d5df48c2ac7 · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Weakly-supervised concealed object segmentation with sam-based pseudo labeling and multi-scale feature grouping,

Reference 5

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Observation fdb93354-993d-4852-8767-a96464e322f2 · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Strategic preys make acute predators: Enhancing camouflaged object detectors by generating camouflaged objects,

Reference 6

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Observation 3c1dffca-8ed8-454b-993d-cecb6d01d634 · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Image threshold segmentation based on glle histogram,

Reference 7

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Observation af6d02db-d68f-498c-845b-f21f693645d4 · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Camouflaged object detection with feature decomposition and edge reconstruction,

Reference 8

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Observation b8551ea7-b32f-49af-8cc4-62a0f057c240 · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement A survey of camouflaged object detection and beyond,

Reference 9

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Observation 951dfeaa-52b4-4041-9e02-1ce6bac07f1e · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Concealed object segmentation with hierarchical coherence modeling,

Reference 10

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Observation 710fb6d8-1d2b-4afc-a5ab-b19f9e14258f · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Pranet: Parallel reverse attention network for polyp segmentation,

Reference 11

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Observation 71d076b1-c863-4fdc-90ee-7b975d8c4a41 · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Bilateral reference for high-resolution dichotomous image segmentation,

Reference 12

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Observation a4c0615e-9130-4af7-acf7-c2a406fafb11 · outbound

This paper cites Segrefiner: Towards model-agnostic segmentation refinement with discrete diffusion process,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Segrefiner: Towards model-agnostic segmentation refinement with discrete diffusion process,

Reference 13

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Observation 1a8364d0-9853-47f1-b7fe-e2fe1b8b397d · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Degradation-resistant unfolding network for heterogeneous image fusion,

Reference 14

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Observation 29ac5fbc-1069-47b4-ba75-06e8d0eae2f6 · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Real-world image dehazing with coherence-based pseudo labeling and cooperative unfolding network,

Reference 15

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Observation 9fb66dda-77d8-4611-8f44-e10b265d8551 · outbound

This paper cites Optimization of lipschitz continuous functions,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Optimization of lipschitz continuous functions,

Reference 16

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Observation 4e862d84-69db-4103-b1e2-99abad5fbc7e · outbound

This paper cites Vmamba: Visual state space model,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Vmamba: Visual state space model,

Reference 17

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Observation 29beb3b5-a090-46c8-bb7e-57413dfa9745 · outbound

This paper cites Deep residual learning for image recognition,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Deep residual learning for image recognition,

Reference 18

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Observation c861b104-ea6d-43f5-a14e-529b8bf0fdaf · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Hqg-net: Unpaired medical image enhancement with high-quality guidance,

Reference 19

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Observation b4976960-1e38-40ae-84fd-d1d548768812 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Deep unsupervised learning using nonequilibrium thermodynamics,

Reference 20

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Observation dd7efb8e-8a7f-45e8-8fb6-1d21ebb8b48a · outbound

This paper cites Segment concealed object with incomplete supervision,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Segment concealed object with incomplete supervision,

Reference 21

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Observation 85c7f3ef-664a-4add-9000-a3f442763e65 · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Uncertainty-guided transformer reasoning for camouflaged object detection,

Reference 22

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Observation 088d60bf-be40-42b4-8cc3-a1d21313d9ff · outbound

This paper cites Auto-encoding variational bayes,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Auto-encoding variational bayes,

Reference 23

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Observation a6521ea6-987d-4728-bfff-b8ac405916fa · outbound

This paper cites Argmax flows and multinomial diffusion: Learning categorical distributions,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Argmax flows and multinomial diffusion: Learning categorical distributions,

Reference 24

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Observation 8d9684ba-4634-4c08-bc81-b7d970940f7c · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Reti-diff: Illumination degradation image restoration with retinex-based latent diffusion model,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:52.493785Z

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Observation 9d6018c9-fc16-47b6-8586-05c99fc37f6d · outbound

This paper cites IQPFR: An Image Quality Prior for Blind Face Restoration and Beyond.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement IQPFR: An Image Quality Prior for Blind Face Restoration and Beyond

Reference 26

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Observation 948680d4-db34-44e1-9a65-f978308a40ac · outbound

This paper cites Diffir: Efficient diffusion model for image restoration,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Diffir: Efficient diffusion model for image restoration,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:52.333725Z

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Observation 8206b7f5-b142-4432-9b95-494fc5b893c2 · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Simultaneously localize, segment and rank the camouflaged objects,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:52.186362Z

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Observation cab6564a-b2ae-4428-b596-498821a3333b · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Exploring figure-ground assignment mechanism in perceptual organization,

Reference 29

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Observation 3fbc7920-1e31-465e-8dba-f1a9ee9d1299 · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Frequency-spatial entanglement learning for camouflaged object detection,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:51.834375Z

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Observation 37aec6dc-8ae3-45f8-8bd4-bccf7807816c · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement I can find you! boundary- guided separated attention network for camouflaged object detection,

Reference 31

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Observation 99164d47-c425-4152-854c-c8e4d1bb9818 · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Camofocus: En- hancing camouflage object detection with split-feature focal modulation and context refinement,

Reference 32

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Observation 76ac6b03-c15e-40bb-95ce-42dce6f68f45 · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Zoom in and out: A mixed-scale triplet network for camouflaged object detection,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:51.360123Z

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Observation 0dd0e0f0-8b97-4d84-8c24-3c9c33b76b24 · outbound

This paper cites Zoomnext: A unified collaborative pyramid network for camou- flaged object detection,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Zoomnext: A unified collaborative pyramid network for camou- flaged object detection,

Reference 34

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Observation 2874a214-ebad-49fc-8dfe-b1aa67bf6101 · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Segment, magnify and reiterate: Detect camouflaged objects hard way,

Reference 35

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Observation 6cde9944-2001-44f1-aa8f-16f8f7a13407 · outbound

This paper cites Target- aware dual adversarial learning and a multi-scenario multi-modality benchmark to fuse infrared and visible for object detection,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Target- aware dual adversarial learning and a multi-scenario multi-modality benchmark to fuse infrared and visible for object detection,

Reference 36

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Observation aee2c253-f62c-4205-99fc-556d048fa2f7 · outbound

This paper cites Bilevel optimization with nonsmooth lower level problems,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Bilevel optimization with nonsmooth lower level problems,

Reference 37

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Observation fcf31dd3-6457-4b11-b762-d03dbeba11bd · outbound

This paper cites Medical image segmentation via cascaded attention decoding,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Medical image segmentation via cascaded attention decoding,

Reference 38

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Observation aa7ae76f-9a28-4d30-802d-7fbe5eeb7497 · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Polyp-pvt: Polyp segmentation with pyramid vision transformers,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:50.391231Z

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Coinnet: A convolution- involution network with a novel statistical attention for automatic polyp segmentation,

Reference 40

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Observation d08b52cb-2d5e-4abd-890d-860aebf70c1f · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Lssnet: A method for colon polyp segmentation based on local feature supplementation and shallow feature supplementation,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:50.067079Z

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This paper cites Cs2-net: Deep learning segmentation of curvilinear structures in medical imaging,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Cs2-net: Deep learning segmentation of curvilinear structures in medical imaging,

Reference 42

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This paper cites Dynamic snake convo- lution based on topological geometric constraints for tubular structure segmentation,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Dynamic snake convo- lution based on topological geometric constraints for tubular structure segmentation,

Reference 43

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Stimulus-guided adaptive transformer network for retinal blood vessel segmentation in fundus images,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:49.654041Z

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This paper cites Topology-aware uncertainty for image segmentation,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Topology-aware uncertainty for image segmentation,

Reference 45

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Observation 44234c59-a72c-4071-8519-d6b81a41d4b9 · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Represent- ing topological self-similarity using fractal feature maps for accurate segmentation of tubular structures,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:49.311996Z

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Observation 62d254a8-3fd6-4db9-b866-473ffc2474dc · outbound

This paper cites Animal camouflage analysis: Chameleon database,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Animal camouflage analysis: Chameleon database,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:49.163082Z

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Observation 9f1f8a54-af91-477a-a5ec-c5d1fb96a650 · outbound

This paper cites Anabranch network for camouflaged object segmentation,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Anabranch network for camouflaged object segmentation,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:49.015807Z

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Observation 6d852597-461c-403c-a764-61e6d7c20c0d · outbound

This paper cites Concealed object detection,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Concealed object detection,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:48.815874Z

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Observation 58af48ff-f3da-48a1-96fd-a23b4a57a50d · outbound

This paper cites How to evaluate foreground maps?.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement How to evaluate foreground maps?

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:48.659019Z

Source-reported events for the cited work

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Observation 4b958a96-0582-467d-93e1-dc9366561335 · outbound

This paper cites Cognitive vision inspired object segmen- tation metric and loss function,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Cognitive vision inspired object segmen- tation metric and loss function,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:48.503703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 20018e53-6cd8-4efc-8e84-35f30b971ba0 · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Structure-measure: A new way to evaluate foreground maps,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:48.351337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b7eb99ff-545d-41fa-8be7-3da0cba326c4 · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Res2net: A new multi-scale backbone architecture,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:48.226029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 807c32a7-3814-4177-ba43-91c02f47991b · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Pvt v2: Improved baselines with pyramid vision transformer,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:48.071064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ea0744b5-7282-42ec-88cf-de9081b1e0c3 · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Don’t hit me! glass detection in real-world scenes,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:47.877031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2461c1f3-03ef-4743-b9d0-06a65bb3fdf0 · outbound

This paper cites Enhanced boundary learning for glass-like object segmen- tation,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Enhanced boundary learning for glass-like object segmen- tation,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:47.680449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9b4cdb5c-4344-4ef6-8862-ca5a60aeaf5e · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Rfenet: towards reciprocal feature evolution for glass segmentation,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:47.480884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 33df02ef-1d74-40b5-a804-8f1e09c1f892 · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Internal-External Boundary Attention Fusion for Glass Surface Segmentation

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-05T18:16:34.216499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27d5d378-d35b-44d6-a982-6ef74bac62d5 · outbound

This paper cites Ghostingnet: A novel approach for glass surface detection with ghosting cues,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Ghostingnet: A novel approach for glass surface detection with ghosting cues,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:47.295241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8fe7fe9e-4a59-4124-95a2-0ac11db7c1cd · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Automated polyp detection in colonoscopy videos using shape and context information,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:47.104916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a1d74459-b7e3-4f42-9bed-d39617239f9c · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Toward embedded detection of polyps in wce images for early diagnosis,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:46.901163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 98de579f-c16e-49eb-a95b-cf16bf53920d · outbound

This paper cites Struc- ture and illumination constrained gan for medical image enhancement,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Struc- ture and illumination constrained gan for medical image enhancement,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:46.727870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5e1c064c-855b-4bf9-a61d-50b6e7421464 · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement High-resolution iterative feedback network for camouflaged object detection,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:46.543174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 148b95a3-e844-4582-bba2-3b35119da8ea · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Camoformer: Masked separable attention for camouflaged object detection,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:46.367958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 39263e13-adf8-49ae-a44f-d458b55c0fe9 · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Oaformer: Occlusion aware transformer for camouflaged object detection,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:46.174735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c85abb48-162a-40f1-a91b-c5fb1bfd3add · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Sam-adapter: Adapting segment anything in underperformed scenes,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:45.958397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7c31d888-f1bb-4efe-9fc0-5c5e9f131951 · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Weakly-supervised camouflaged object detection with scribble,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:45.721085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f1b291ff-084a-4d45-841d-63f2d6e50e27 · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Relax image-specific prompt requirement in sam: A single generic prompt for segmenting camouflaged objects,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:45.474646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2d2cbb5d-0c05-4f17-b6b1-eba7a9af99b1 · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Pseudo-label guided contrastive learning for semi- supervised medical image segmentation,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:45.213695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f3d324cf-35ca-48e2-8925-22ef46bd574e · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Saliency as pseudo-pixel supervision for weakly and semi-supervised semantic segmentation,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:44.936043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6f51dd34-5c49-4e27-8756-f3a0563b8bee · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Unsupervised and semi-supervised co-salient object detection via segmentation fre- quency statistics,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:44.717404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c9c3cede-3810-4259-80db-2b023475433e · outbound

This paper cites Source-free depth for object pop-out,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Source-free depth for object pop-out,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:44.499096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 03cd4c78-fa6e-4682-aa51-ba7cc04bccb5 · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Integrating Extra Modality Helps Segmentor Find Camouflaged Objects Well

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-05T18:16:35.967069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88bad39a-612c-4425-afe9-058aa7c7204c · outbound

This paper cites Specificity- preserving rgb-d saliency detection,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Specificity- preserving rgb-d saliency detection,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:44.260164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 90abc8b5-e9ca-4296-8498-530946148652 · outbound

This paper cites Spsn: Superpixel prototype sam- pling network for rgb-d salient object detection,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Spsn: Superpixel prototype sam- pling network for rgb-d salient object detection,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:43.954849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 52a1fadb-dd43-4df0-a068-39cd695ba443 · outbound

This paper cites Exploring deeper! segment anything model with depth perception for camouflaged object detection,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Exploring deeper! segment anything model with depth perception for camouflaged object detection,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:43.660506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f003c0e8-852d-44d8-b8fa-a5c693f59375 · outbound

This paper cites Advances in deep concealed scene understanding,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Advances in deep concealed scene understanding,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:43.326742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9d24d3fc-c803-41de-b1ae-9a499772af81 · outbound

This paper cites Progressively normalized self-attention network for video polyp seg- mentation,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Progressively normalized self-attention network for video polyp seg- mentation,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:43.160137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e3732460-266d-4752-8c3d-68e3c9847f94 · outbound

This paper cites Self- supervised video object segmentation by motion grouping,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Self- supervised video object segmentation by motion grouping,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:43.027843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9b30a764-66ab-4230-b268-67a87d1e1940 · outbound

This paper cites Implicit motion handling for video camouflaged object detection,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Implicit motion handling for video camouflaged object detection,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:42.849511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cc154638-9d89-4204-b4d2-7e7964307d65 · outbound

This paper cites It’s moving! a probabilistic model for causal motion segmentation in moving camera videos,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement It’s moving! a probabilistic model for causal motion segmentation in moving camera videos,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:42.677751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d466a049-43e6-471a-a8e9-e0f8a93e4885 · outbound

This paper cites Efficient inference in fully connected crfs with gaussian edge potentials,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Efficient inference in fully connected crfs with gaussian edge potentials,

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:42.479877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 224af593-9de1-4243-ab79-95670bad1faf · outbound

This paper cites The fast bilateral solver,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement The fast bilateral solver,

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:42.138066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation df6ee7fc-2287-4f8c-8b3a-c89a11e5820a · outbound

This paper cites Samrefiner: Taming segment anything model for universal mask refinement,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Samrefiner: Taming segment anything model for universal mask refinement,

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:41.839348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c11d6856-6b4f-44bf-b2a6-1f0146279d5d · outbound

This paper cites Visual saliency transformer,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Visual saliency transformer,

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:41.634903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0bc0a2de-a32f-4cca-b8f4-4c08d4827f5a · outbound

This paper cites Salient object detection via integrity learning,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Salient object detection via integrity learning,

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:41.454027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f605393b-bf74-43c2-a30f-d1d64548b770 · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Pyramid grafting network for one-stage high resolution saliency detection,

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:41.254335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 68609bc0-0763-486f-a5a8-e15b7dab43ec · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Pixels, regions, and objects: Multiple enhancement for salient object detection,

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:41.002689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a5e5b3e4-7189-4937-8297-dfd3e69f00f5 · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Recurrent multi-scale transformer for salient object detection,

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:40.748615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 16e3e006-d7f9-4159-b776-b0865c9a6457 · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Gponet: A two-stream gated progressive optimization network for salient object detection,

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:40.474947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4d27e907-5d1f-4d45-8e7e-cf89866ac368 · outbound

This paper cites Efficient and stronger visual saliency transformer,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Efficient and stronger visual saliency transformer,

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:40.267465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f84d4bd0-2592-49ce-9b63-184056a30dc6 · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-05T18:16:37.994325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 380d5b8c-7b65-40eb-849e-ba7d7d899402 · outbound

This paper cites Getting to know low-light images with the exclusively dark dataset,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Getting to know low-light images with the exclusively dark dataset,

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:40.024448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5936944c-acca-424f-9383-e8db9e460d7d · outbound

This paper cites Diff-retinex: Rethinking low-light image enhancement with a generative diffusion model,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Diff-retinex: Rethinking low-light image enhancement with a generative diffusion model,

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:39.786545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 811f2e93-8818-4dd1-948b-c513b9a8197f · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Saliency detection via graph-based manifold ranking,

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:39.643804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8ab43231-72f9-4ba0-9df8-455547dfe5bf · outbound

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

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Learning to detect salient objects with image-level supervision,

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:39.470761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a009b336-823a-4039-82da-c2891162176a · outbound

This paper cites Hierarchical saliency detection,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Hierarchical saliency detection,

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:39.318951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7fc150ea-3b2a-4c04-a370-ccc937114ef4 · outbound

This paper cites Visual saliency based on multiscale deep features,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement Visual saliency based on multiscale deep features,

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:39.123479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 709c93a2-3a93-4ca9-866f-812a6600c420 · outbound

This paper cites The secrets of salient object segmentation,.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement The secrets of salient object segmentation,

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:16:38.930203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

Observation e6003869-cc04-4033-a13c-01e594a174cb · inbound

Beyond Ground-Truth: Leveraging Image Quality Priors for Real-World Image Restoration cites this paper.

Beyond Ground-Truth: Leveraging Image Quality Priors for Real-World Image Restoration Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-14T00:08:28.720394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 14000647-618a-4ef5-804b-02b8c3833006 · inbound

GS-STVSR: Ultra-Efficient Continuous Spatio-Temporal Video Super-Resolution via 2D Gaussian Splatting cites this paper.

GS-STVSR: Ultra-Efficient Continuous Spatio-Temporal Video Super-Resolution via 2D Gaussian Splatting Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:40:19.548925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 07363b8d-4396-4d37-9199-dfae272b1ae6 · inbound

Learning to Track Instance from Single Nature Language Description cites this paper.

Learning to Track Instance from Single Nature Language Description Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T01:45:51.056369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 31860bf0-af10-4d2a-81cd-28ce58827779 · inbound

RIDE: Retinex-Informed Decoupling for Exposing Concealed Objects cites this paper.

RIDE: Retinex-Informed Decoupling for Exposing Concealed Objects Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-19T15:12:37.444018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a0e43fea-3b90-4412-be94-0ac77a26a75d · inbound

Embedding-perturbed Exploration Preference Optimization for Flow Models cites this paper.

Embedding-perturbed Exploration Preference Optimization for Flow Models Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-20T18:38:53.024747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation eb2a8ae0-8987-493a-bd84-6fb2bdd136a4 · inbound

On the Controllability-Fidelity Frontier in Diffusion Editing cites this paper.

On the Controllability-Fidelity Frontier in Diffusion Editing Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-02T20:37:22.597175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.