mlsanityData to 14 Oct 2026

PlantCamo: Plant Camouflage Detection

arXiv 2410.17598 ↗First posted 23 Oct 2024cs.CVcited by 5

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Abstract (arXiv)

Camouflaged Object Detection (COD) aims to detect objects with camouflaged properties. Although previous studies have focused on natural (animals and insects) and unnatural (artistic and synthetic) camouflage detection, plant camouflage has been neglected. However, plant camouflage plays a vital role in natural camouflage. Therefore, this paper introduces a new challenging problem of Plant Camouflage Detection (PCD). To address this problem, we introduce the PlantCamo dataset, which comprises 1,250 images with camouflaged plants representing 58 object categories in various natural scenes. To investigate the current status of plant camouflage detection, we conduct a large-scale benchmark study using 20+ cutting-edge COD models on the proposed dataset. Due to the unique characteristics of plant camouflage, including holes and irregular borders, we developed a new framework, named PCNet, dedicated to PCD. Our PCNet surpasses performance thanks to its multi-scale global feature enhancement and refinement. Finally, we discuss the potential applications and insights, hoping this work fills the gap in fine-grained COD research and facilitates further intelligent ecology research. All resources will be available on https://github.com/yjybuaa/PlantCamo.

Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 37 of its 64 references that are in the map. First posted on arXiv 23 Oct 2024.

Builds on

37 of 64 references.

References · 37

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  10. 2021Anabranch Network for Camouflaged Object Segmentationcited by 227
  11. 2021Concealed Object Detectioncited by 212
  12. 2021Simultaneously Localize, Segment and Rank the Camouflaged Objectscited by 198
25 more
  1. 2021Camouflaged Object Segmentation with Distraction Miningcited by 151
  2. 2022Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detectioncited by 145
  3. 2021Uncertainty-aware Joint Salient Object and Camouflaged Object Detectioncited by 114
  4. 2023Explicit Visual Prompting for Low-Level Structure Segmentationscited by 114
  5. 2021Mutual Graph Learning for Camouflaged Object Detectioncited by 103
  6. 2019Towards High-Resolution Salient Object Detectioncited by 92
  7. 2023Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformerscited by 87
  8. 2021Context-aware Cross-level Fusion Network for Camouflaged Object Detectioncited by 86
  9. 2022High-resolution Iterative Feedback Network for Camouflaged Object Detectioncited by 78
  10. 2022Boundary-Guided Camouflaged Object Detectioncited by 68
  11. 2022Deep Gradient Learning for Efficient Camouflaged Object Detectioncited by 65
  12. 2023VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt Learningcited by 58
  13. 2023Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objectscited by 56
  14. 2022Source-free Depth for Object Pop-outcited by 52
  15. 2023Advances in Deep Concealed Scene Understandingcited by 47
  16. 2022Weakly-Supervised Camouflaged Object Detection with Scribble Annotationscited by 43
  17. 2021Fast Camouflaged Object Detection via Edge-based Reversible Re-calibration Networkcited by 42
  18. 2022Feature Aggregation and Propagation Network for Camouflaged Object Detectioncited by 40
  19. 2023Frequency Perception Network for Camouflaged Object Detectioncited by 37
  20. 2022Camouflaged Object Detection via Context-aware Cross-level Fusioncited by 32
  21. 2022Boosting Camouflaged Object Detection with Dual-Task Interactive Transformercited by 24
  22. 2023CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion Modelscited by 21
  23. 2023The Making and Breaking of Camouflagecited by 14
  24. 2022MFFN: Multi-view Feature Fusion Network for Camouflaged Object Detectioncited by 12
  25. 2023A Unified Query-based Paradigm for Camouflaged Instance Segmentationcited by 7

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 2; 2026: 3.

5 papers.

  1. 2025Deep Learning in Concealed Dense Predictioncited by 6
  2. 2025ArgusCogito: Chain-of-Thought for Cross-Modal Synergy and Omnidirectional Reasoning in Camouflaged Object Segmentationcited by 0
  3. 2026Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detectioncited by 0
  4. 2026Seeing the Unseen: Camouflaged Object Detection Beyond the Visible Spectrumcited by 0
  5. 2026Can Frozen Hyperspherical Features Guide the Selection of Pseudo Masks?cited by 0