mlsanityData to 7 Oct 2026

Boundary-Guided Camouflaged Object Detection

arXiv 2207.00794 ↗First posted 2 Jul 2022cs.CVcited by 68

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Abstract (arXiv)

Camouflaged object detection (COD), segmenting objects that are elegantly blended into their surroundings, is a valuable yet challenging task. Existing deep-learning methods often fall into the difficulty of accurately identifying the camouflaged object with complete and fine object structure. To this end, in this paper, we propose a novel boundary-guided network (BGNet) for camouflaged object detection. Our method explores valuable and extra object-related edge semantics to guide representation learning of COD, which forces the model to generate features that highlight object structure, thereby promoting camouflaged object detection of accurate boundary localization. Extensive experiments on three challenging benchmark datasets demonstrate that our BGNet significantly outperforms the existing 18 state-of-the-art methods under four widely-used evaluation metrics. Our code is publicly available at: https://github.com/thograce/BGNet.

Key facts. Cited by 68 papers in the map (data through 7 Oct 2026). Builds on 22 of its 40 references that are in the map. First posted on arXiv 2 Jul 2022.

Builds on

22 of 40 references.

References · 22

  1. 2014Adam: A Method for Stochastic Optimizationcited by 36,960
  2. 2019ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networkscited by 572
  3. 2017Structure-measure: A New Way to Evaluate Foreground Mapscited by 480
  4. 2019Res2Net: A New Multi-scale Backbone Architecturecited by 468
  5. 2020PraNet: Parallel Reverse Attention Network for Polyp Segmentationcited by 460
  6. 2019EGNet:Edge Guidance Network for Salient Object Detectioncited by 237
  7. 2021Anabranch Network for Camouflaged Object Segmentationcited by 227
  8. 2020Multi-scale Interactive Network for Salient Object Detectioncited by 212
  9. 2021Concealed Object Detectioncited by 212
  10. 2019A Simple Pooling-Based Design for Real-Time Salient Object Detectioncited by 211
  11. 2021Simultaneously Localize, Segment and Rank the Camouflaged Objectscited by 198
  12. 2022Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detectioncited by 145
10 more
  1. 2021Uncertainty-aware Joint Salient Object and Camouflaged Object Detectioncited by 114
  2. 2021Mutual Graph Learning for Camouflaged Object Detectioncited by 103
  3. 2020Segmenting Transparent Objects in the Wildcited by 98
  4. 2020UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoderscited by 98
  5. 2017Amulet: Aggregating Multi-level Convolutional Features for Salient Object Detectioncited by 93
  6. 2021Context-aware Cross-level Fusion Network for Camouflaged Object Detectioncited by 86
  7. 2020Highly Efficient Salient Object Detection with 100K Parameterscited by 79
  8. 2020EDN: Salient Object Detection via Extremely-Downsampled Networkcited by 64
  9. 2022Implicit Motion Handling for Video Camouflaged Object Detectioncited by 60
  10. 2021Boundary-Aware Segmentation Network for Mobile and Web Applicationscited by 41

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 3; 2023: 23; 2024: 19; 2025: 13; 2026: 10.

68 papers.

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  1. 2024Bilateral Reference for High-Resolution Dichotomous Image Segmentationcited by 112
  2. 2023Can SAM Segment Anything? When SAM Meets Camouflaged Object Detectioncited by 99
  3. 2023Weakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Groupingcited by 92
  4. 2023Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformerscited by 87
  5. 2023Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objectscited by 56
  6. 2022Source-free Depth for Object Pop-outcited by 52
  7. 2023Advances in Deep Concealed Scene Understandingcited by 47
  8. 2024Frequency-Spatial Entanglement Learning for Camouflaged Object Detectioncited by 46
  9. 2023Frequency Perception Network for Camouflaged Object Detectioncited by 37
  10. 2024A Survey of Camouflaged Object Detection and Beyondcited by 37
  11. 2023Diffusion Model for Camouflaged Object Detectioncited by 27
  12. 2023CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion Modelscited by 21
38 more
  1. 2024Exploring Deeper! Segment Anything Model with Depth Perception for Camouflaged Object Detectioncited by 20
  2. 2023Referring Camouflaged Object Detectioncited by 19
  3. 2024Spider: A Unified Framework for Context-dependent Concept Segmentationcited by 18
  4. 2024Hierarchical Graph Interaction Transformer with Dynamic Token Clustering for Camouflaged Object Detectioncited by 18
  5. 2023Towards Diverse Binary Segmentation via A Simple yet General Gated Networkcited by 17
  6. 2024Frequency-Guided Spatial Adaptation for Camouflaged Object Detectioncited by 15
  7. 2023Open-Vocabulary Camouflaged Object Segmentationcited by 14
  8. 2024FocusDiffuser: Perceiving Local Disparities for Camouflaged Object Detectioncited by 14
  9. 2024Learning Camouflaged Object Detection from Noisy Pseudo Labelcited by 12
  10. 2024Evaluating SAM2's Role in Camouflaged Object Detection: From SAM to SAM2cited by 12
  11. 2023Edge-Aware Mirror Network for Camouflaged Object Detectioncited by 10
  12. 2025UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learningcited by 10
  13. 2023Collaborative Camouflaged Object Detection: A Large-Scale Dataset and Benchmarkcited by 8
  14. 2023Large Model Based Referring Camouflaged Object Detectioncited by 8
  15. 2023A Unified Query-based Paradigm for Camouflaged Instance Segmentationcited by 7
  16. 2024Depth Awakens: A Depth-perceptual Attention Fusion Network for RGB-D Camouflaged Object Detectioncited by 7
  17. 2024Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenescited by 7
  18. 2024CGCOD: Class-Guided Camouflaged Object Detectioncited by 7
  19. 2022DQnet: Cross-Model Detail Querying for Camouflaged Object Detectioncited by 6
  20. 2024COMPrompter: reconceptualized segment anything model with multiprompt network for camouflaged object detectioncited by 6
  21. 2025Deep Learning in Concealed Dense Predictioncited by 6
  22. 2024PlantCamo: Plant Camouflage Detectioncited by 5
  23. 2025Beyond Single Images: Retrieval Self-Augmented Unsupervised Camouflaged Object Detectioncited by 5
  24. 2023Boundary-semantic collaborative guidance network with dual-stream feedback mechanism for salient object detection in optical remote sensing imagerycited by 4
  25. 2023Pre-train, Adapt and Detect: Multi-Task Adapter Tuning for Camouflaged Object Detectioncited by 4
  26. 2023Edge-aware Feature Aggregation Network for Polyp Segmentationcited by 4
  27. 2024Mamba Capsule Routing Towards Part-Whole Relational Camouflaged Object Detectioncited by 3
  28. 2024Towards Real Zero-Shot Camouflaged Object Segmentation without Camouflaged Annotationscited by 3
  29. 2025Stepwise Decomposition and Dual-stream Focus: A Novel Approach for Training-free Camouflaged Object Segmentationcited by 3
  30. 2025SAM-TTT: Segment Anything Model via Reverse Parameter Configuration and Test-Time Training for Camouflaged Object Detectioncited by 3
  31. 2023You Do Not Need Additional Priors in Camouflage Object Detectioncited by 2
  32. 2023Cross-level Attention with Overlapped Windows for Camouflaged Object Detectioncited by 2
  33. 2025FMNet: Frequency-Assisted Mamba-Like Linear Attention Network for Camouflaged Object Detectioncited by 2
  34. 2022Boundary-aware Camouflaged Object Detection via Deformable Point Samplingcited by 1
  35. 2023When Super-Resolution Meets Camouflaged Object Detection: A Comparison Studycited by 1
  36. 2024RMAFF-PSN: A Residual Multi-Scale Attention Feature Fusion Photometric Stereo Networkcited by 1
  37. 2025Scoring, Remember, and Reference: Catching Camouflaged Objects in Videoscited by 1
  38. 2025Knowledge Rectification for Camouflaged Object Detection: Unlocking Insights from Low-Quality Datacited by 1

50 most cited of 68 All 68 (JSON)