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Awesome-Panoptic-Segmentation-Papers

awesome-panoptic-segmentation-papers's Introduction

Awesome-Panoptic-Segmentation-PapersAwesome

- Recent papers (from 2018)

Keywords

img.: image level   |   vid.: video level   |  


2020

  • [CVPR] Video Panoptic Segmentation. [pytorch] [vid.]
  • [CVPR] Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation. [pytorch] [img.]
  • [CVPR] Learning Instance Occlusion for Panoptic Segmentation. [pytorch] [img.]
  • [CVPR] BANet: Bidirectional Aggregation Network with Occlusion Handling for Panoptic Segmentation. [pytorch] [img.]
  • [CVPR] Real-Time Panoptic Segmentation from Dense Detections. [pytorch] [img.]
  • [CVPR] Unifying Training and Inference for Panoptic Segmentation. [img.]
  • [CVPR] Learning Instance Occlusion for Panoptic Segmentation. [img.]
  • [CVPR] Pixel Consensus Voting for Panoptic Segmentation. [pytorch] [img.]
  • [CVPR] Bidirectional Graph Reasoning Network for Panoptic Segmentation. [img.]
  • [ECCV] Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation. [pytorch] [img.]
  • [AAAI] SOGNet: Scene Overlap Graph Network for Panoptic Segmentation. [pytorch] [img.]
  • [BMVC] Bipartite Conditional Random Fields for Panoptic Segmentation. [pytorch][img.]
  • [IROS] Single-Shot Panoptic Segmentation. [img.]
  • [TCSVT] SpatialFlow: Bridging All Tasks for Panoptic Segmentation. [pytorch] [img.]
  • [RAL] Fast Panoptic Segmentation Network. [img.]
  • [arxiv] Generator Evaluator-selector Net for Panoptic Image Segmentation and Splitting Unfamiliar Objects into Parts. [img.]
  • [arxiv] Learning Panoptic Segmentation from Instance Contours. [img.]
  • [arxiv] Learning Category- and Instance-Aware Pixel Embedding for Fast Panoptic Segmentation. [img.]
  • [arxiv] CASNet: Common Attribute Support Network for image instance and panoptic segmentation. [img.]
  • [arxiv] PanoNet: Real-time Panoptic Segmentation through Position-Sensitive Feature Embedding. [img.]
  • [arxiv] Towards Bounding-Box Free Panoptic Segmentation. [img.]
  • [arxiv] EPSNet: Efficient Panoptic Segmentation Network with Cross-layer Attention Fusion. [img.]
  • [arxiv] EfficientPS: Efficient Panoptic Segmentation. [pytorch][pytorch_v2] [img.]
  • [arxiv] A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI. [img.]

2019

  • [CVPR] Panoptic Feature Pyramid Networks. [img.]
  • [CVPR] UPSNet: A Unified Panoptic Segmentation Network. [pytorch] [img.]
  • [CVPR] Attention-guided Unified Network for Panoptic Segmentation. [img.]
  • [CVPR] An End-to-End Network for Panoptic Segmentation. [img.]
  • [CVPR] Panoptic Segmentation. [img.]
  • [IJCAI] Nuclei Segmentation via a Deep Panoptic Model with Semantic Feature Fusion. [img.]
  • [IROS] PanopticFusion: Online Volumetric Semantic Mapping at the Level of Stuff and Things. [img.]

2018

  • [CVPR] Weakly- and Semi-Supervised Panoptic Segmentation. [matlab] [img.]

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