Awesome-Panoptic-Segmentation

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Content

• Datasets
• Papers with codes
• 2021
• 2020
• 2019
• 2018

Datasets

• Mapillary Vistas

• KITTI

• SemanticKITTI

• Middlebury Stereo

• Cityscapes

• COCO panoptic task

• PSCAL VOC 2012

• ADE20K

• SYNTHIA

• TCGA-KUMAR

• TNBC

• BBBC039V1

Paper with code

2021 :

• PPS: Wild Panoramic Panoptic Segmentation dataset [Code]

2020:

• Panoptic-deeplab: A simple, strong, and fast baseline for bottom-up panoptic segmentation [Code]
• Learning instance occlusion for panoptic segmentation [Code]
• Efficientps: Efficient panoptic segmentation [Code]
• Linear Attention Mechanism: An Efficient Attention for Semantic Segmentation [Code]
• Stable and expressive recurrent vision models [Code]
• DESC: Domain Adaptation for Depth Estimation via Semantic Consistency [Code]
• Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges [Code]
• Context Prior for Scene Segmentation [Code]
• Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation [Code]
• Video Panoptic Segmentation [Code]
• Cityscapes-Panoptic-Parts and PASCAL-Panoptic-Parts datasets for Scene Understanding [Code]

2019:

• Panoptic segmentation[Code]
• Upsnet: A unified panoptic segmentation network [Code]
• Panoptic feature pyramid networks [Code]
• Sognet: Scene overlap graph network for panoptic segmentation [Code]
• Single network panoptic segmentation for street scene understanding [Code]
• Generator evaluator-selector net: a modular approach for panoptic segmentation [Code]
• Seamless scene segmentation [Code]
• Adaptis: Adaptive instance selection network [Code]
• Associatively segmenting instances and semantics in point clouds [Code]
• MOTS: Multi-object tracking and segmentation [Code]
• AdaptIS: Adaptive Instance Selection Network [Code]
• ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation [Code]
• SpatialFlow: Bridging All Tasks for Panoptic Segmentation [Code]
• Bipartite Conditional Random Fields for Panoptic Segmentation [Code]
• Vargnet: Variable group convolutional neural network for efficient embedded computing [Code]
• Weakly supervised cell instance segmentation by propagating from detection response [Code]
• Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images [Code]
• Woodscape: A multi-task, multi-camera fisheye dataset for autonomous driving [Code]
• Harvesting Information from Captions for Weakly Supervised Semantic Segmentation [Code]
• Object-contextual representations for semantic segmentation [Code]
• A hierarchical probabilistic u-net for modeling multi-scale ambiguities [Code]
• Parsing r-cnn for instance-level human analysis [Code]

2018:

• ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation [Code]
• Weakly- and Semi-Supervised Panoptic Segmentation [Code]
• Effective use of synthetic data for urban scene semantic segmentationC [Code]

Citation

@article{elharrouss2021panoptic,
  title={Panoptic Segmentation: A Review},
  author={Elharrouss, Omar and Al-Maadeed, Somaya and Subramanian, Nandhini and Ottakath, Najmath and Almaadeed, Noor and Himeur, Yassine},
  journal={arXiv preprint arXiv:2111.10250},
  year={2021}
}