mlsanityData to 14 Oct 2026

Deep Texture-Aware Features for Camouflaged Object Detection

arXiv 2102.02996 ↗First posted 5 Feb 2021cs.CVcited by 36

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Abstract (arXiv)

Camouflaged object detection is a challenging task that aims to identify objects having similar texture to the surroundings. This paper presents to amplify the subtle texture difference between camouflaged objects and the background for camouflaged object detection by formulating multiple texture-aware refinement modules to learn the texture-aware features in a deep convolutional neural network. The texture-aware refinement module computes the covariance matrices of feature responses to extract the texture information, designs an affinity loss to learn a set of parameter maps that help to separate the texture between camouflaged objects and the background, and adopts a boundary-consistency loss to explore the object detail structures.We evaluate our network on the benchmark dataset for camouflaged object detection both qualitatively and quantitatively. Experimental results show that our approach outperforms various state-of-the-art methods by a large margin.

Key facts. Cited by 36 papers in the map (data through 14 Oct 2026). Builds on 34 of its 73 references that are in the map. First posted on arXiv 5 Feb 2021.

Builds on

34 of 73 references.

References · 34

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 2; 2022: 6; 2023: 12; 2024: 7; 2025: 8; 2026: 1.

36 papers.

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  1. 2022Deep Gradient Learning for Efficient Camouflaged Object Detectioncited by 65
  2. 2023Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objectscited by 56
  3. 2023Advances in Deep Concealed Scene Understandingcited by 47
  4. 2024A Survey of Camouflaged Object Detection and Beyondcited by 37
  5. 2022Camouflaged Object Detection via Context-aware Cross-level Fusioncited by 32
  6. 2022OSFormer: One-Stage Camouflaged Instance Segmentation with Transformerscited by 30
  7. 2022Boosting Camouflaged Object Detection with Dual-Task Interactive Transformercited by 24
  8. 2024SAM-COD: SAM-guided Unified Framework for Weakly-Supervised Camouflaged Object Detectioncited by 22
  9. 2023CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion Modelscited by 21
  10. 2022Towards Deeper Understanding of Camouflaged Object Detectioncited by 19
  11. 2023Referring Camouflaged Object Detectioncited by 19
  12. 2024Hierarchical Graph Interaction Transformer with Dynamic Token Clustering for Camouflaged Object Detectioncited by 18
24 more
  1. 2023Towards Diverse Binary Segmentation via A Simple yet General Gated Networkcited by 17
  2. 2023Pixel Difference Convolutional Network for RGB-D Semantic Segmentationcited by 13
  3. 2025RobustGS: Unified Boosting of Feedforward 3D Gaussian Splatting under Low-Quality Conditionscited by 13
  4. 2025UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learningcited by 10
  5. 2023Collaborative Camouflaged Object Detection: A Large-Scale Dataset and Benchmarkcited by 8
  6. 2024Depth Awakens: A Depth-perceptual Attention Fusion Network for RGB-D Camouflaged Object Detectioncited by 8
  7. 2023PrObeD: Proactive Object Detection Wrappercited by 7
  8. 2024Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenescited by 7
  9. 2023Non-exemplar Class-incremental Learning by Random Auxiliary Classes Augmentation and Mixed Featurescited by 6
  10. 2025Deep Learning in Concealed Dense Predictioncited by 6
  11. 2021Confidence-Aware Learning for Camouflaged Object Detectioncited by 5
  12. 2021SDTP: Semantic-aware Decoupled Transformer Pyramid for Dense Image Predictioncited by 5
  13. 2023Pre-train, Adapt and Detect: Multi-Task Adapter Tuning for Camouflaged Object Detectioncited by 4
  14. 2025Enhancing Zero-Shot Brain Tumor Subtype Classification via Fine-Grained Patch-Text Alignmentcited by 4
  15. 2025SCOUT: Semi-supervised Camouflaged Object Detection by Utilizing Text and Adaptive Data Selectioncited by 3
  16. 2023Cross-level Attention with Overlapped Windows for Camouflaged Object Detectioncited by 2
  17. 2024CoFiNet: Unveiling Camouflaged Objects with Multi-Scale Finessecited by 2
  18. 2025Assisted Refinement Network Based on Channel Information Interaction for Camouflaged and Salient Object Detectioncited by 2
  19. 2022Boundary-aware Camouflaged Object Detection via Deformable Point Samplingcited by 1
  20. 2025CamoSAM2: SAM2-oriented Prompt Auto-Refinement for Video Camouflaged Object Detectioncited by 1
  21. 2025StarPose: 3D Human Pose Estimation via Spatial-Temporal Autoregressive Diffusioncited by 1
  22. 2023A bioinspired three-stage model for camouflaged object detectioncited by 0
  23. 2024SurANet: Surrounding-Aware Network for Concealed Object Detection via Highly-Efficient Interactive Contrastive Learning Strategycited by 0
  24. 2026Bi-CamoDiffusion: A Boundary-informed Diffusion Approach for Camouflaged Object Detectioncited by 0