mlsanityData to 7 Oct 2026

OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers

arXiv 2207.02255 ↗First posted 5 Jul 2022cs.CVcited by 30

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Abstract (arXiv)

We present OSFormer, the first one-stage transformer framework for camouflaged instance segmentation (CIS). OSFormer is based on two key designs. First, we design a location-sensing transformer (LST) to obtain the location label and instance-aware parameters by introducing the location-guided queries and the blend-convolution feedforward network. Second, we develop a coarse-to-fine fusion (CFF) to merge diverse context information from the LST encoder and CNN backbone. Coupling these two components enables OSFormer to efficiently blend local features and long-range context dependencies for predicting camouflaged instances. Compared with two-stage frameworks, our OSFormer reaches 41% AP and achieves good convergence efficiency without requiring enormous training data, i.e., only 3,040 samples under 60 epochs. Code link: https://github.com/PJLallen/OSFormer.

Key facts. Cited by 30 papers in the map (data through 7 Oct 2026). Builds on 45 of its 65 references that are in the map. First posted on arXiv 5 Jul 2022.

Builds on

45 of 65 references.

References · 45

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33 more
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  2. 2016V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentationcited by 2,284
  3. 2017Arbitrary Style Transfer in Real-time with Adaptive Instance Normalizationcited by 1,998
  4. 2021Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutionscited by 1,960
  5. 2019FCOS: Fully Convolutional One-Stage Object Detectioncited by 1,573
  6. 2021CvT: Introducing Convolutions to Vision Transformerscited by 946
  7. 2018Path Aggregation Network for Instance Segmentationcited by 796
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  9. 2019Hybrid Task Cascade for Instance Segmentationcited by 479
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  11. 2019YOLACT: Real-time Instance Segmentationcited by 441
  12. 2019Cascade R-CNN: High Quality Object Detection and Instance Segmentationcited by 428
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  14. 2020Conditional Convolutions for Instance Segmentationcited by 314
  15. 2019SOLO: Segmenting Objects by Locationscited by 289
  16. 2019Mask Scoring R-CNNcited by 265
  17. 2021Anabranch Network for Camouflaged Object Segmentationcited by 227
  18. 2021Simultaneously Localize, Segment and Rank the Camouflaged Objectscited by 198
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  21. 2021Camouflaged Object Segmentation with Distraction Miningcited by 151
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 2; 2023: 10; 2024: 9; 2025: 7; 2026: 2.

30 papers.

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  1. 2023Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformerscited by 87
  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. 2023FastInst: A Simple Query-Based Model for Real-Time Instance Segmentationcited by 32
  6. 2024A Simple yet Effective Network based on Vision Transformer for Camouflaged Object and Salient Object Detectioncited by 23
  7. 2024FocusDiffuser: Perceiving Local Disparities for Camouflaged Object Detectioncited by 14
  8. 2025Integrating Extra Modality Helps Segmentor Find Camouflaged Objects Wellcited by 14
  9. 2023MDQE: Mining Discriminative Query Embeddings to Segment Occluded Instances on Challenging Videoscited by 13
  10. 2022MFFN: Multi-view Feature Fusion Network for Camouflaged Object Detectioncited by 12
  11. 2024When SAM2 Meets Video Camouflaged Object Segmentation: A Comprehensive Evaluation and Adaptationcited by 11
  12. 2023CalibNet: Dual-branch Cross-modal Calibration for RGB-D Salient Instance Segmentationcited by 10
18 more
  1. 2024Depth-Driven Geometric Prompt Learning for Laparoscopic Liver Landmark Detectioncited by 9
  2. 2023A Unified Query-based Paradigm for Camouflaged Instance Segmentationcited by 7
  3. 2024Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenescited by 7
  4. 2022DQnet: Cross-Model Detail Querying for Camouflaged Object Detectioncited by 6
  5. 2025Deep Learning in Concealed Dense Predictioncited by 6
  6. 2024Evaluation Study on SAM 2 for Class-agnostic Instance-level Segmentationcited by 5
  7. 2023Catch Me If You Can Describe Me: Open-Vocabulary Camouflaged Instance Segmentation with Diffusioncited by 3
  8. 2024Mamba Capsule Routing Towards Part-Whole Relational Camouflaged Object Detectioncited by 3
  9. 2024Towards Real Zero-Shot Camouflaged Object Segmentation without Camouflaged Annotationscited by 3
  10. 2025Synergistic Bleeding Region and Point Detection in Laparoscopic Surgical Videoscited by 3
  11. 2025Distribution-Specific Learning for Joint Salient and Camouflaged Object Detectioncited by 3
  12. 2023CamoFA: A Learnable Fourier-based Augmentation for Camouflage Segmentationcited by 2
  13. 2025Expose Camouflage in the Water: Underwater Camouflaged Instance Segmentation and Datasetcited by 2
  14. 2025C3Net: Context-Contrast Network for Camouflaged Object Detectioncited by 2
  15. 2023Partitioned Saliency Ranking with Dense Pyramid Transformerscited by 0
  16. 2025SPEGNet: Synergistic Perception-Guided Network for Camouflaged Object Detectioncited by 0
  17. 2026SPDA-SAM: A Self-prompted Depth-Aware Segment Anything Model for Instance Segmentationcited by 0
  18. 2026A Turbo-Inference Strategy for Object Detection and Instance Segmentationcited by 0