mlsanityData to 14 Oct 2026

Fully Convolutional Networks for Panoptic Segmentation

arXiv 2012.00720 ↗First posted 1 Dec 2020cs.CVcited by 92

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Abstract (arXiv)

In this paper, we present a conceptually simple, strong, and efficient framework for panoptic segmentation, called Panoptic FCN. Our approach aims to represent and predict foreground things and background stuff in a unified fully convolutional pipeline. In particular, Panoptic FCN encodes each object instance or stuff category into a specific kernel weight with the proposed kernel generator and produces the prediction by convolving the high-resolution feature directly. With this approach, instance-aware and semantically consistent properties for things and stuff can be respectively satisfied in a simple generate-kernel-then-segment workflow. Without extra boxes for localization or instance separation, the proposed approach outperforms previous box-based and -free models with high efficiency on COCO, Cityscapes, and Mapillary Vistas datasets with single scale input. Our code is made publicly available at https://github.com/Jia-Research-Lab/PanopticFCN.

Key facts. Cited by 92 papers in the map (data through 14 Oct 2026). First posted on arXiv 1 Dec 2020.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 11; 2022: 29; 2023: 33; 2024: 10; 2025: 6; 2026: 3.

92 papers.

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  1. 2023LISA: Reasoning Segmentation via Large Language Modelcited by 776
  2. 2023Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Modelscited by 375
  3. 2021K-Net: Towards Unified Image Segmentationcited by 212
  4. 2023Tracking Anything with Decoupled Video Segmentationcited by 197
  5. 2022DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detectioncited by 176
  6. 2023Transformer-Based Visual Segmentation: A Surveycited by 124
  7. 2022Highly Accurate Dichotomous Image Segmentationcited by 110
  8. 2021Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformerscited by 109
  9. 2021FaPN: Feature-aligned Pyramid Network for Dense Image Predictioncited by 81
  10. 2022Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentationcited by 79
  11. 2021Open-World Entity Segmentationcited by 74
  12. 2022CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentationcited by 60
38 more
  1. 2023Learning to Upsample by Learning to Samplecited by 57
  2. 2022CM-GAN: Image Inpainting with Cascaded Modulation GAN and Object-Aware Trainingcited by 49
  3. 2022AutoAlignV2: Deformable Feature Aggregation for Dynamic Multi-Modal 3D Object Detectioncited by 46
  4. 2023See, Say, and Segment: Teaching LMMs to Overcome False Premisescited by 41
  5. 2023You Only Segment Once: Towards Real-Time Panoptic Segmentationcited by 40
  6. 2023Open-vocabulary Panoptic Segmentation with Embedding Modulationcited by 39
  7. 2023Incremental 3D Semantic Scene Graph Prediction from RGB Sequencescited by 39
  8. 2022Panoptic-PartFormer: Learning a Unified Model for Panoptic Part Segmentationcited by 38
  9. 2021PolyphonicFormer: Unified Query Learning for Depth-aware Video Panoptic Segmentationcited by 36
  10. 2022TubeFormer-DeepLab: Video Mask Transformercited by 35
  11. 2023CLUSTSEG: Clustering for Universal Segmentationcited by 32
  12. 2021Fully Convolutional Networks for Panoptic Segmentation with Point-based Supervisioncited by 31
  13. 2021High Quality Segmentation for Ultra High-resolution Imagescited by 31
  14. 2023PhenoBench -- A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domaincited by 31
  15. 2023Betrayed by Captions: Joint Caption Grounding and Generation for Open Vocabulary Instance Segmentationcited by 28
  16. 2022MGNet: Monocular Geometric Scene Understanding for Autonomous Drivingcited by 27
  17. 2024UniVS: Unified and Universal Video Segmentation with Prompts as Queriescited by 27
  18. 2022PVO: Panoptic Visual Odometrycited by 26
  19. 2024CoReS: Orchestrating the Dance of Reasoning and Segmentationcited by 25
  20. 2021Slot-VPS: Object-centric Representation Learning for Video Panoptic Segmentationcited by 24
  21. 2023Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentationcited by 24
  22. 2021Panoramic Panoptic Segmentation: Towards Complete Surrounding Understanding via Unsupervised Contrastive Learningcited by 23
  23. 2024ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuningcited by 20
  24. 2021Instance and Panoptic Segmentation Using Conditional Convolutionscited by 19
  25. 2023PanopticPartFormer++: A Unified and Decoupled View for Panoptic Part Segmentationcited by 19
  26. 2023DFormer: Diffusion-guided Transformer for Universal Image Segmentationcited by 19
  27. 2023Towards Open-World Segmentation of Partscited by 15
  28. 2022PanopticDepth: A Unified Framework for Depth-aware Panoptic Segmentationcited by 14
  29. 2022Panoramic Panoptic Segmentation: Insights Into Surrounding Parsing for Mobile Agents via Unsupervised Contrastive Learningcited by 14
  30. 2023Towards Real-Time Panoptic Narrative Grounding by an End-to-End Grounding Networkcited by 13
  31. 2022kMaX-DeepLab: k-means Mask Transformercited by 12
  32. 2022SFNet: Faster and Accurate Semantic Segmentation via Semantic Flowcited by 10
  33. 2025Frequency-Dynamic Attention Modulation for Dense Predictioncited by 10
  34. 2022Panoptic, Instance and Semantic Relations: A Relational Context Encoder to Enhance Panoptic Segmentationcited by 9
  35. 2022Dual Decision Improves Open-Set Panoptic Segmentationcited by 9
  36. 2023Milestones in Autonomous Driving and Intelligent Vehicles Part II: Perception and Planningcited by 9
  37. 2022Shape-guided Object Inpaintingcited by 8
  38. 2022UniDAformer: Unified Domain Adaptive Panoptic Segmentation Transformer via Hierarchical Mask Calibrationcited by 8

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