Instance Segmentation On Cityscapes

Results

Performance results of various models on this benchmark

Model Name	Paper Title	Repository
Learnable Margin	Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth	-
Dynamically Instantiated Network	Pixelwise Instance Segmentation with a Dynamically Instantiated Network	-
Panoptic-DeepLab [Cityscapes-fine]	Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation	-
Model 4	Track to Detect and Segment: An Online Multi-Object Tracker	-
Semantic Instance Segmentation with a Discriminative Loss Function	Semantic Instance Segmentation with a Discriminative Loss Function	-
EfficientPS	EfficientPS: Efficient Panoptic Segmentation	-
Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth	Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth	-
Panoptic-DeepLab [Mapillary Vistas]	Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation	-
Deep Watershed Transform	Deep Watershed Transform for Instance Segmentation	-
GAIS-Net	Geometry-Aware Instance Segmentation with Disparity Maps	-
PolyTransform	PolyTransform: Deep Polygon Transformer for Instance Segmentation	-

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