Awesome-Panoptic-Segmentation

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Content

Datasets
Papers with codes

2021
2020
2019
2018

Datasets

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}

}
</ul>