Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T16:30:53.849769Z
Paper Citation Record · LEDGER
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection
As of 6 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2604.12380.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
55 of 55 outbound references displayed
- verified exact7
- verified fuzzy47
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 6a965f86-08d9-4ade-b2b1-46d0ab94edbb · outbound
This paper cites Camouflaged object detection.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Camouflaged object detection
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.459220Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d109a3c2-cd5b-4f91-b65f-35315b25b75d · outbound
This paper cites Ip- net: Polarization-based camouflaged object detection via dual-flow network.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Ip- net: Polarization-based camouflaged object detection via dual-flow network
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.448748Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8f0c43b0-baf3-4cb5-8e76-7ef316a12ca3 · outbound
This paper cites Visible- infrared camouflaged object detection.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Visible- infrared camouflaged object detection
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.456588Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 18b966c1-2b2a-438d-a6f7-86ac74612d02 · outbound
This paper cites Depth-aided camouflaged object detection.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Depth-aided camouflaged object detection
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.445239Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d861b751-81f5-43e6-b412-bd59931d8119 · outbound
This paper cites Segment anything.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Segment anything
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.439010Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0692b686-4de6-4854-b49a-dc47e073d173 · outbound
This paper cites Com- prompter: reconceptualized segment anything model with multiprompt network for camouflaged object detection.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Com- prompter: reconceptualized segment anything model with multiprompt network for camouflaged object detection
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.483754Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c21ae58d-00ed-41a9-939b-b2031c07c81e · outbound
This paper cites Sam-adapter: Adapting segment anything in underperformed scenes.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Sam-adapter: Adapting segment anything in underperformed scenes
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.420003Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6e58a05e-379c-4ca5-b8d5-4e37a0781935 · outbound
This paper cites Explor- ing deeper! segment anything model with depth percep- tion for camouflaged object detection.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Explor- ing deeper! segment anything model with depth percep- tion for camouflaged object detection
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.480822Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5273828a-a3b9-4079-a7f8-3f3d8ebc8e29 · outbound
This paper cites Improving SAM for Camouflaged Object Detection via Dual Stream Adapters.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Improving SAM for Camouflaged Object Detection via Dual Stream Adapters
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:45:58.472794Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6b7b5bc1-7a28-4e7d-8ce8-47d5bed9414f · outbound
This paper cites Camouflaged object segmentation with distraction mining.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Camouflaged object segmentation with distraction mining
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.392216Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 97b1dc6a-5f91-4569-8733-4f7b1ac141b8 · outbound
This paper cites Boundary- guided camouflaged object detection.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Boundary- guided camouflaged object detection
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.363992Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 519abbf4-2861-4671-a4b3-e8fdabfd4cc5 · outbound
This paper cites High-resolution Iterative Feedback Network for Camouflaged Object Detection.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection High-resolution Iterative Feedback Network for Camouflaged Object Detection
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:45:58.463995Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 988222f7-fd9e-40b0-945d-cc4b8ecf56bd · outbound
This paper cites Frequency-spatial entanglement learning for camou- flaged object detection.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Frequency-spatial entanglement learning for camou- flaged object detection
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.370307Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a55eedc1-30ad-4648-82d8-62ae1676bdd1 · outbound
This paper cites Uncertainty-guided diffusion model for cam- ouflaged object detection.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Uncertainty-guided diffusion model for cam- ouflaged object detection
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.436419Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f9534cf0-b3de-4553-8ae4-9e5ec91aedd1 · outbound
This paper cites Depth-aware concealed crop detection in dense agricul- tural scenes.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Depth-aware concealed crop detection in dense agricul- tural scenes
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.409271Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1d7ec158-1837-40e1-943c-c48814caa667 · outbound
This paper cites Multi- modal segment anything model for camouflaged scene segmentation.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Multi- modal segment anything model for camouflaged scene segmentation
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.406285Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 14ca8c36-e964-48c5-8cac-fb8f69b81772 · outbound
This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.349638Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 54e797de-aa5d-40b6-883b-802502b0e449 · outbound
This paper cites FOCUS: Towards Universal Foreground Segmentation.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection FOCUS: Towards Universal Foreground Segmentation
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:45:58.484959Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation cd3be86c-c82f-4896-b28a-86fe372811f2 · outbound
This paper cites Explicit vi- sual prompting for low-level structure segmentations.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Explicit vi- sual prompting for low-level structure segmentations
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.378908Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 083b7e54-c012-4bed-8894-0e6a517509e0 · outbound
This paper cites Emerging Properties in Self-Supervised Vision Transformers.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Emerging Properties in Self-Supervised Vision Transformers
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T14:04:51.784333Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation dfd03b6f-7763-4ca2-8bcd-2d57d34e4e8e · outbound
This paper cites Learning Transferable Visual Models From Natural Language Supervision.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Learning Transferable Visual Models From Natural Language Supervision
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T08:45:58.496690Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8deb1886-d4ef-4cbd-aac5-bb6a3a3ce531 · outbound
This paper cites Boosting segment anything model to generalize visually non-salient scenarios.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Boosting segment anything model to generalize visually non-salient scenarios
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.469077Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c17b595a-7159-4bad-90c2-4d4b222fd8d6 · outbound
This paper cites Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
Reference 23
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T08:45:58.468456Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7a62975b-9287-4c0d-8513-ca54b332f062 · outbound
This paper cites Feature shrinkage pyramid for camouflaged object detection with transformers.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Feature shrinkage pyramid for camouflaged object detection with transformers
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.367407Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4375d46b-fd50-43e5-ad78-1816bb7c4a4e · outbound
This paper cites Exploring figure-ground assignment mechanism in perceptual or- ganization.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Exploring figure-ground assignment mechanism in perceptual or- ganization
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.382066Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a0bce051-8056-48b4-85d6-7573b0da1811 · outbound
This paper cites Camouflaged object detection with feature decomposition and edge reconstruction.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Camouflaged object detection with feature decomposition and edge reconstruction
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.422866Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a88b8c6b-8dc7-47b6-ad3a-7e13bc81b738 · outbound
This paper cites Segment anything in high quality.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Segment anything in high quality
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.474923Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 46ccd365-8451-44b8-92fb-276a3bbfc90e · outbound
This paper cites Focusdiffuser: Perceiving local disparities for camouflaged object detection.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Focusdiffuser: Perceiving local disparities for camouflaged object detection
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.431132Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4a0a3ca1-2ef7-47d3-89f5-d4d58a4d942b · outbound
This paper cites Zoomnext: A unified collaborative pyramid network for camouflaged object detection.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Zoomnext: A unified collaborative pyramid network for camouflaged object detection
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.433625Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1cfd2129-f20e-4e76-9762-3ee375167cfa · outbound
This paper cites SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:45:58.444943Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d45fa954-aede-4665-8c4a-bb722e4951f8 · outbound
This paper cites Relax image-specific prompt requirement in sam: A single generic prompt for segmenting camouflaged objects.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Relax image-specific prompt requirement in sam: A single generic prompt for segmenting camouflaged objects
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.358632Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 40d30753-6bc4-4a9d-84ea-daeb609d2eb4 · outbound
This paper cites Segment anything in medical images.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Segment anything in medical images
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.411766Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation eb78bc15-4b28-492f-a1ba-05e5a159cc19 · outbound
This paper cites A unet-like transformer network for camouflaged object detection.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection A unet-like transformer network for camouflaged object detection
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.425612Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8169e0cd-76ce-4170-8253-c83385b222e9 · outbound
This paper cites PlantCamo: Plant Camouflage Detection.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection PlantCamo: Plant Camouflage Detection
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:45:58.455537Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 71f835cc-1527-4d4d-945c-e33d195d3af9 · outbound
This paper cites Escnet: Edge-semantic collaborative network for camouflaged object detection.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Escnet: Edge-semantic collaborative network for camouflaged object detection
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.389864Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f5d8171f-db69-45b6-97d9-a4c58917f198 · outbound
This paper cites Sam-ttt: Segment anything model via reverse parameter config- uration and test-time training for camouflaged object detection.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Sam-ttt: Segment anything model via reverse parameter config- uration and test-time training for camouflaged object detection
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.414680Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 97abf281-7a13-4b61-9570-9225887be447 · outbound
This paper cites St-sam: Sam-driven self-training framework for semi-supervised camouflaged object detection.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection St-sam: Sam-driven self-training framework for semi-supervised camouflaged object detection
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.355609Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b8995a7c-6983-47c7-a0fb-d81538d2a777 · outbound
This paper cites Specificity-preserving rgb-d saliency detection.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Specificity-preserving rgb-d saliency detection
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.465932Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ec15d285-3003-4858-821c-694bfa6d878b · outbound
This paper cites Spsn: Superpixel prototype sampling network for rgb-d salient object de- tection (supplementary material).
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Spsn: Superpixel prototype sampling network for rgb-d salient object de- tection (supplementary material)
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.361392Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1e184eeb-5d02-4afd-bf84-9c65a2642df8 · outbound
This paper cites Source- free depth for object pop-out.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Source- free depth for object pop-out
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.441810Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 45402e37-5e0e-4ee9-851f-49a6a97f4fc0 · outbound
This paper cites Con- cealed object detection.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Con- cealed object detection
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.352341Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 040f8190-8576-4733-8c35-a0f0a9fa0f17 · outbound
This paper cites Zoom in and out: A mixed-scale triplet network for camouflaged object detection.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Zoom in and out: A mixed-scale triplet network for camouflaged object detection
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.453003Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 694a121f-76c2-44e5-b942-1597858e608c · outbound
This paper cites I can find you! boundary-guided separated attention network for camouflaged object detection.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection I can find you! boundary-guided separated attention network for camouflaged object detection
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.472020Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4cdc386c-0e6f-4da7-a031-5b326171115f · outbound
This paper cites Frequency perception network for camouflaged object detection.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Frequency perception network for camouflaged object detection
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.428604Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a7574b6d-bd27-4368-b509-f9ce1caa53f3 · outbound
This paper cites Efficient camouflaged object detection network based on global localization perception and local guidance refinement.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Efficient camouflaged object detection network based on global localization perception and local guidance refinement
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.397626Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3f75bc62-d2ca-408f-b749-1e6d1cb27dd8 · outbound
This paper cites Hierarchical graph interaction transformer with dynamic token clustering for camouflaged object detection.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Hierarchical graph interaction transformer with dynamic token clustering for camouflaged object detection
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.387150Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c41a01dd-a065-4259-ad0b-094c8e0e6863 · outbound
This paper cites Sam2-unet: Segment anything 2 makes strong encoder for natural and medical image segmentation.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Sam2-unet: Segment anything 2 makes strong encoder for natural and medical image segmentation
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.375730Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 02d01585-6c1c-4999-bf48-00e4b34ce4d5 · outbound
This paper cites Glass segmen- tation using intensity and spectral polarization cues.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Glass segmen- tation using intensity and spectral polarization cues
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.417497Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0bb77f72-60df-4492-a253-8d99d649c9e5 · outbound
This paper cites Polarization-based cam- ouflaged object detection with high-resolution adaptive fusion network.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Polarization-based cam- ouflaged object detection with high-resolution adaptive fusion network
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.477753Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2fc15471-1a98-4b8b-a118-f1d73460e5f6 · outbound
This paper cites Hrtransnet: Hrformer-driven two-modality salient object detection.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Hrtransnet: Hrformer-driven two-modality salient object detection
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.372965Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 484d9751-d37f-413b-9a16-27cf58a7d2fb · outbound
This paper cites Wavenet: Wavelet network with knowledge distillation for rgb-t salient object detection.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Wavenet: Wavelet network with knowledge distillation for rgb-t salient object detection
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.403159Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 704aa36d-c0cb-49e1-9f09-32b4aadc00c6 · outbound
This paper cites Alignment- free rgbt salient object detection: Semantics-guided asymmetric correlation network and a unified bench- mark.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Alignment- free rgbt salient object detection: Semantics-guided asymmetric correlation network and a unified bench- mark
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.394926Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0f2a6813-ef4e-412d-b86a-04d49a94d449 · outbound
This paper cites Vscode: General visual salient and camouflaged object detection with 2d prompt learning.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Vscode: General visual salient and camouflaged object detection with 2d prompt learning
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.400350Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation bec21637-832c-48bd-89da-45aa59b078e1 · outbound
This paper cites Unified- modal salient object detection via adaptive prompt learn- ing.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Unified- modal salient object detection via adaptive prompt learn- ing
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.384539Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6b064939-ecb5-4689-a9e2-4567dd57f83b · outbound
This paper cites Alignment- free rgb-t salient object detection: A large-scale dataset and progressive correlation network.
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection Alignment- free rgb-t salient object detection: A large-scale dataset and progressive correlation network
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:59:48.462268Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Pith citing papers
No inbound Pith citation observations are available.