Task	Dataset	Model	Metric name	Metric value	Global rank
Instance Segmentation	Cityscapes	Mask R-CNN	Average Precision	26.2	# 2
Instance Segmentation	Cityscapes	Mask R-CNN + Coco	Average Precision	32.0	# 1
Keypoint Detection	COCO	Mask R-CNN	Validation AP	69.2	# 6
Keypoint Detection	COCO	Mask R-CNN	Test AP	63.1	# 7
Object Detection	COCO	Mask R-CNN	Bounding Box AP	39.8	# 28
Instance Segmentation	COCO	Mask R-CNN	Average Precision	37.1%	# 8
Multi-Human Parsing	MHP v1.0	Mask R-CNN	AP 0.5	52.68%	# 2
Multi-Human Parsing	MHP v2.0	Mask R-CNN	AP 0.5	14.90%	# 3

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Mask R-CNN

ICCV 2017 • Kaiming He • Georgia Gkioxari • Piotr Dollár • Ross Girshick

We present a conceptually simple, flexible, and general framework for object instance segmentation. Our approach efficiently detects objects in an image while simultaneously generating a high-quality segmentation mask for each instance... (read more)

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tensorflow/models

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facebookresearch/detectron

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matterport/Mask_RCNN

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facebookresearch/maskrcnn-benchmark

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HUMAN PART SEGMENTATION

INSTANCE SEGMENTATION

KEYPOINT DETECTION

MULTI-HUMAN PARSING

OBJECT DETECTION

SEMANTIC SEGMENTATION

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SOTA for Instance Segmentation on Cityscapes (using extra training data)

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Task	Dataset	Model	Metric name	Metric value	Global rank	Compare
Instance Segmentation	Cityscapes	Mask R-CNN	Average Precision	26.2	# 2	See all
Instance Segmentation	Cityscapes	Mask R-CNN + Coco	Average Precision	32.0	# 1	See all
Keypoint Detection	COCO	Mask R-CNN	Validation AP	69.2	# 6	See all
Keypoint Detection	COCO	Mask R-CNN	Test AP	63.1	# 7	See all
Object Detection	COCO	Mask R-CNN	Bounding Box AP	39.8	# 28	See all
Instance Segmentation	COCO	Mask R-CNN	Average Precision	37.1%	# 8	See all
Multi-Human Parsing	MHP v1.0	Mask R-CNN	AP 0.5	52.68%	# 2	See all
Multi-Human Parsing	MHP v2.0	Mask R-CNN	AP 0.5	14.90%	# 3	See all

Mask R-CNN

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