mlsanityData to 14 Oct 2026

One-Shot Video Object Segmentation

arXiv 1611.05198 ↗First posted 16 Nov 2016cs.CVcited by 235

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Abstract (arXiv)

This paper tackles the task of semi-supervised video object segmentation, i.e., the separation of an object from the background in a video, given the mask of the first frame. We present One-Shot Video Object Segmentation (OSVOS), based on a fully-convolutional neural network architecture that is able to successively transfer generic semantic information, learned on ImageNet, to the task of foreground segmentation, and finally to learning the appearance of a single annotated object of the test sequence (hence one-shot). Although all frames are processed independently, the results are temporally coherent and stable. We perform experiments on two annotated video segmentation databases, which show that OSVOS is fast and improves the state of the art by a significant margin (79.8% vs 68.0%).

Key facts. Cited by 235 papers in the map (data through 14 Oct 2026). First posted on arXiv 16 Nov 2016.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 56; 2022: 53; 2023: 49; 2024: 33; 2025: 28; 2026: 16.

235 papers.

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  1. 2024SAM 2: Segment Anything in Images and Videoscited by 2,863
  2. 2022XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Modelcited by 439
  3. 2021Conditional Object-Centric Learning from Videocited by 248
  4. 2023MOSE: A New Dataset for Video Object Segmentation in Complex Scenescited by 234
  5. 2021Associating Objects with Transformers for Video Object Segmentationcited by 226
  6. 2021A Survey of Human-in-the-loop for Machine Learningcited by 215
  7. 2021Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentationcited by 203
  8. 2023Putting the Object Back into Video Object Segmentationcited by 188
  9. 2022Decoupling Features in Hierarchical Propagation for Video Object Segmentationcited by 148
  10. 2021Self-supervised Video Object Segmentation by Motion Groupingcited by 147
  11. 2021A Survey on Deep Learning Technique for Video Segmentationcited by 132
  12. 2021Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusioncited by 129
38 more
  1. 2021SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentationcited by 106
  2. 2021Repurposing GANs for One-shot Semantic Part Segmentationcited by 88
  3. 2021Efficient Regional Memory Network for Video Object Segmentationcited by 86
  4. 2023Neural Point Catacaustics for Novel-View Synthesis of Reflectionscited by 82
  5. 2021Rethinking Self-supervised Correspondence Learning: A Video Frame-level Similarity Perspectivecited by 81
  6. 2022OSOP: A Multi-Stage One Shot Object Pose Estimation Frameworkcited by 81
  7. 2024SAM2Long: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Treecited by 80
  8. 2021Full-Duplex Strategy for Video Object Segmentationcited by 78
  9. 2022LVOS: A Benchmark for Long-term Video Object Segmentationcited by 77
  10. 2023Audio-Visual Segmentation with Semanticscited by 75
  11. 2021Video Instance Segmentation with a Propose-Reduce Paradigmcited by 74
  12. 2023Sensitivity-Aware Visual Parameter-Efficient Fine-Tuningcited by 74
  13. 2021Hierarchical Memory Matching Network for Video Object Segmentationcited by 72
  14. 2023General Object Foundation Model for Images and Videos at Scalecited by 71
  15. 2021SwiftNet: Real-time Video Object Segmentationcited by 67
  16. 20223D Object Detection from Images for Autonomous Driving: A Surveycited by 66
  17. 2021Learning Position and Target Consistency for Memory-based Video Object Segmentationcited by 63
  18. 2022Segmenting Moving Objects via an Object-Centric Layered Representationcited by 63
  19. 2025MOSEv2: A More Challenging Dataset for Video Object Segmentation in Complex Scenescited by 62
  20. 2021Joint Inductive and Transductive Learning for Video Object Segmentationcited by 61
  21. 2022Feature-Proxy Transformer for Few-Shot Segmentationcited by 58
  22. 2021Semantics for Robotic Mapping, Perception and Interaction: A Surveycited by 56
  23. 2023XMem++: Production-level Video Segmentation From Few Annotated Framescited by 53
  24. 2022Breaking the "Object" in Video Object Segmentationcited by 49
  25. 2023Self-supervised Object-Centric Learning for Videoscited by 49
  26. 2023Spectrum-guided Multi-granularity Referring Video Object Segmentationcited by 48
  27. 2024LVOS: A Benchmark for Large-scale Long-term Video Object Segmentationcited by 44
  28. 2021Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentationcited by 43
  29. 2022Guess What Moves: Unsupervised Video and Image Segmentation by Anticipating Motioncited by 42
  30. 2022Local-Global Context Aware Transformer for Language-Guided Video Segmentationcited by 41
  31. 2021Active Boundary Loss for Semantic Segmentationcited by 40
  32. 2022Per-Clip Video Object Segmentationcited by 40
  33. 2022Robust Visual Tracking by Segmentationcited by 38
  34. 2021Reliable Propagation-Correction Modulation for Video Object Segmentationcited by 36
  35. 2022EDTER: Edge Detection with Transformercited by 36
  36. 2022Learning Quality-aware Dynamic Memory for Video Object Segmentationcited by 35
  37. 2022Look Before You Match: Instance Understanding Matters in Video Object Segmentationcited by 34
  38. 2023CLIP-S4: Language-Guided Self-Supervised Semantic Segmentationcited by 34

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