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Fully Convolutional Instance-aware Semantic Segmentation

arXiv 1611.07709 ↗First posted 23 Nov 2016cs.CVcited by 123

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Abstract (arXiv)

We present the first fully convolutional end-to-end solution for instance-aware semantic segmentation task. It inherits all the merits of FCNs for semantic segmentation and instance mask proposal. It performs instance mask prediction and classification jointly. The underlying convolutional representation is fully shared between the two sub-tasks, as well as between all regions of interest. The proposed network is highly integrated and achieves state-of-the-art performance in both accuracy and efficiency. It wins the COCO 2016 segmentation competition by a large margin. Code would be released at urlhttps://github.com/daijifeng001/TA-FCN.

Key facts. Cited by 123 papers in the map (data through 14 Oct 2026). First posted on arXiv 23 Nov 2016.

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Citing papers per year: 2021: 55; 2022: 33; 2023: 21; 2024: 5; 2025: 8; 2026: 1.

123 papers.

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  1. 2021Rethinking Spatial Dimensions of Vision Transformerscited by 361
  2. 2022DiffusionDet: Diffusion Model for Object Detectioncited by 354
  3. 2021Pix2seq: A Language Modeling Framework for Object Detectioncited by 349
  4. 2021Anabranch Network for Camouflaged Object Segmentationcited by 227
  5. 2021K-Net: Towards Unified Image Segmentationcited by 212
  6. 2021Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognitioncited by 194
  7. 2021Hierarchical Aggregation for 3D Instance Segmentationcited by 127
  8. 2021Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayerscited by 104
  9. 2022FreeSOLO: Learning to Segment Objects without Annotationscited by 102
  10. 2021Open-World Entity Segmentationcited by 74
  11. 2021SOLQ: Segmenting Objects by Learning Queriescited by 68
  12. 2021Mask Transfiner for High-Quality Instance Segmentationcited by 64
38 more
  1. 2021DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervisioncited by 59
  2. 2023Exploring Predicate Visual Context in Detecting Human-Object Interactionscited by 56
  3. 2023Contrastive Grouping with Transformer for Referring Image Segmentationcited by 54
  4. 2021ISTR: End-to-End Instance Segmentation with Transformerscited by 52
  5. 2022DiffusionInst: Diffusion Model for Instance Segmentationcited by 49
  6. 2022Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditionscited by 48
  7. 2022A Survey on Label-efficient Deep Image Segmentation: Bridging the Gap between Weak Supervision and Dense Predictioncited by 46
  8. 2021Spatial Feature Calibration and Temporal Fusion for Effective One-stage Video Instance Segmentationcited by 42
  9. 2021SOTR: Segmenting Objects with Transformerscited by 42
  10. 2021Active Boundary Loss for Semantic Segmentationcited by 40
  11. 2021Zero-Shot Instance Segmentationcited by 40
  12. 2022ABINet++: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Spottingcited by 40
  13. 2023Instance Neural Radiance Fieldcited by 40
  14. 2023Initializing Models with Larger Onescited by 39
  15. 2021CDistNet: Perceiving Multi-Domain Character Distance for Robust Text Recognitioncited by 36
  16. 2022AISFormer: Amodal Instance Segmentation with Transformercited by 35
  17. 2022Look Before You Match: Instance Understanding Matters in Video Object Segmentationcited by 34
  18. 2021SOLO: A Simple Framework for Instance Segmentationcited by 32
  19. 2021FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle Detectioncited by 29
  20. 2021VISOLO: Grid-Based Space-Time Aggregation for Efficient Online Video Instance Segmentationcited by 29
  21. 2021PolarMask++: Enhanced Polar Representation for Single-Shot Instance Segmentation and Beyondcited by 27
  22. 2021Enhancing Adversarial Robustness via Test-time Transformation Ensemblingcited by 27
  23. 2022E2EC: An End-to-End Contour-based Method for High-Quality High-Speed Instance Segmentationcited by 27
  24. 2023Semantic Image Segmentation: Two Decades of Researchcited by 27
  25. 2021Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinementcited by 26
  26. 2022Human Instance Matting via Mutual Guidance and Multi-Instance Refinementcited by 25
  27. 2021Visiting the Invisible: Layer-by-Layer Completed Scene Decompositioncited by 23
  28. 2021DeepLab2: A TensorFlow Library for Deep Labelingcited by 22
  29. 2022Instance Shadow Detection with A Single-Stage Detectorcited by 22
  30. 2021A Weakly Supervised Amodal Segmenter with Boundary Uncertainty Estimationcited by 21
  31. 2022ContrastMask: Contrastive Learning to Segment Every Thingcited by 20
  32. 2022Mean Shift Mask Transformer for Unseen Object Instance Segmentationcited by 19
  33. 2021ICM-3D: Instantiated Category Modeling for 3D Instance Segmentationcited by 18
  34. 2022Image Amodal Completion: A Surveycited by 18
  35. 2022Learning Equivariant Segmentation with Instance-Unique Queryingcited by 17
  36. 2021Camouflaged Instance Segmentation In-The-Wild: Dataset, Method, and Benchmark Suitecited by 16
  37. 2021Industrial Scene Text Detection with Refined Feature-attentive Networkcited by 16
  38. 2021FAPIS: A Few-shot Anchor-free Part-based Instance Segmentercited by 15

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