OpenCodePapers

instance-segmentation-on-cityscapes

Instance Segmentation
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PaperCodemask APModelNameReleaseDate
Deep Watershed Transform for Instance Segmentation✓ LinkDeep Watershed Transform2016-11-24
Pixelwise Instance Segmentation with a Dynamically Instantiated Network✓ LinkDynamically Instantiated Network2017-04-07
Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation✓ LinkPanoptic-DeepLab [Mapillary Vistas]2019-11-22
Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation✓ LinkPanoptic-DeepLab [Cityscapes-fine]2019-11-22
Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth✓ LinkLearnable Margin2019-06-26
EfficientPS: Efficient Panoptic Segmentation✓ LinkEfficientPS2020-04-05
Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth✓ LinkInstance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth2019-06-26
Semantic Instance Segmentation with a Discriminative Loss Function✓ LinkSemantic Instance Segmentation with a Discriminative Loss Function2017-08-08
PolyTransform: Deep Polygon Transformer for Instance SegmentationPolyTransform2019-12-05
Geometry-Aware Instance Segmentation with Disparity Maps✓ LinkGAIS-Net2020-06-14
Track to Detect and Segment: An Online Multi-Object Tracker✓ Link2021-03-16