mlsanityData to 7 Oct 2026

Panoptic-DeepLab

arXiv 1910.04751 ↗First posted 10 Oct 2019cs.CV cs.LG eess.IVcited by 362

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Abstract (arXiv)

We present Panoptic-DeepLab, a bottom-up and single-shot approach for panoptic segmentation. Our Panoptic-DeepLab is conceptually simple and delivers state-of-the-art results. In particular, we adopt the dual-ASPP and dual-decoder structures specific to semantic, and instance segmentation, respectively. The semantic segmentation branch is the same as the typical design of any semantic segmentation model (e.g., DeepLab), while the instance segmentation branch is class-agnostic, involving a simple instance center regression. Our single Panoptic-DeepLab sets the new state-of-art at all three Cityscapes benchmarks, reaching 84.2% mIoU, 39.0% AP, and 65.5% PQ on test set, and advances results on the other challenging Mapillary Vistas.

Key facts. Cited by 362 papers in the map (data through 7 Oct 2026). First posted on arXiv 10 Oct 2019.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 70; 2022: 83; 2023: 103; 2024: 62; 2025: 28; 2026: 16.

362 papers.

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  1. 2021Masked-attention Mask Transformer for Universal Image Segmentationcited by 2,338
  2. 2021Per-Pixel Classification is Not All You Need for Semantic Segmentationcited by 1,148
  3. 2021Segmenter: Transformer for Semantic Segmentationcited by 855
  4. 2023LISA: Reasoning Segmentation via Large Language Modelcited by 770
  5. 2022Block-NeRF: Scalable Large Scene Neural View Synthesiscited by 720
  6. 2023Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Modelscited by 371
  7. 2022OneFormer: One Transformer to Rule Universal Image Segmentationcited by 327
  8. 2022Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representationcited by 243
  9. 2021FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular Camerascited by 239
  10. 2021K-Net: Towards Unified Image Segmentationcited by 211
  11. 2023Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIPcited by 199
  12. 2021Boundary IoU: Improving Object-Centric Image Segmentation Evaluationcited by 186
38 more
  1. 2022Panoptic Lifting for 3D Scene Understanding with Neural Fieldscited by 171
  2. 2021Mask2Former for Video Instance Segmentationcited by 169
  3. 2023Towards Open Vocabulary Learning: A Surveycited by 165
  4. 2022HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentationcited by 163
  5. 2022Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentationcited by 152
  6. 2022Model-Based Imitation Learning for Urban Drivingcited by 149
  7. 2024HUGS: Holistic Urban 3D Scene Understanding via Gaussian Splattingcited by 141
  8. 2023Rethinking Range View Representation for LiDAR Segmentationcited by 126
  9. 2023Transformer-Based Visual Segmentation: A Surveycited by 124
  10. 2021Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformerscited by 109
  11. 2021Panoptic-PolarNet: Proposal-free LiDAR Point Cloud Panoptic Segmentationcited by 107
  12. 2021Involution: Inverting the Inherence of Convolution for Visual Recognitioncited by 99
  13. 2022A Generalist Framework for Panoptic Segmentation of Images and Videoscited by 99
  14. 2021Pointly-Supervised Instance Segmentationcited by 83
  15. 2023Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous drivingcited by 83
  16. 2022Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentationcited by 79
  17. 2022WildNet: Learning Domain Generalized Semantic Segmentation from the Wildcited by 75
  18. 2024OMG-Seg: Is One Model Good Enough For All Segmentation?cited by 73
  19. 2021STEP: Segmenting and Tracking Every Pixelcited by 72
  20. 2022HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imagingcited by 66
  21. 20214D Panoptic LiDAR Segmentationcited by 64
  22. 2021Mask Transfiner for High-Quality Instance Segmentationcited by 64
  23. 2022CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentationcited by 60
  24. 2022PODA: Prompt-driven Zero-shot Domain Adaptationcited by 60
  25. 2022Panoptic-PHNet: Towards Real-Time and High-Precision LiDAR Panoptic Segmentation via Clustering Pseudo Heatmapcited by 59
  26. 2023A Survey on Open-Vocabulary Detection and Segmentation: Past, Present, and Futurecited by 59
  27. 2022Waymo Open Dataset: Panoramic Video Panoptic Segmentationcited by 57
  28. 2021Semantics for Robotic Mapping, Perception and Interaction: A Surveycited by 56
  29. 2021Part-aware Panoptic Segmentationcited by 56
  30. 2023Towards Label-free Scene Understanding by Vision Foundation Modelscited by 54
  31. 2023Cam4DOcc: Benchmark for Camera-Only 4D Occupancy Forecasting in Autonomous Driving Applicationscited by 50
  32. 2021Radar-Camera Pixel Depth Association for Depth Completioncited by 49
  33. 2021Bird's-Eye-View Panoptic Segmentation Using Monocular Frontal View Imagescited by 48
  34. 2021ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenescited by 47
  35. 2022StretchBEV: Stretching Future Instance Prediction Spatially and Temporallycited by 47
  36. 2022MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Modelscited by 47
  37. 2021FIDNet: LiDAR Point Cloud Semantic Segmentation with Fully Interpolation Decodingcited by 46
  38. 2023Panoptic Video Scene Graph Generationcited by 46

50 most cited of 362 All 362 (JSON)