TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK
Nuclear Segmentation	Cell17	Mask R-CNN	F1-score	0.8004	# 3
Nuclear Segmentation	Cell17	Mask R-CNN	Dice	0.7070	# 3
Nuclear Segmentation	Cell17	Mask R-CNN	Hausdorff	12.6723	# 3
Instance Segmentation	Cityscapes test	Mask R-CNN + Coco	Average Precision	32.0	# 1
Instance Segmentation	Cityscapes test	Mask R-CNN	Average Precision	26.2	# 2
Keypoint Detection	COCO	Mask R-CNN	Validation AP	69.2	# 6
Keypoint Detection	COCO	Mask R-CNN	Test AP	63.1	# 9
Instance Segmentation	COCO minival	Mask R-CNN (ResNet-101-FPN)	mask AP	35.4	# 12
Object Detection	COCO minival	Mask R-CNN (ResNeXt-101-FPN)	box AP	36.7	# 47
Object Detection	COCO minival	Mask R-CNN (ResNeXt-101-FPN)	AP50	59.5	# 20
Object Detection	COCO minival	Mask R-CNN (ResNeXt-101-FPN)	AP75	38.9	# 30
Object Detection	COCO minival	Mask R-CNN (ResNet-101-FPN)	box AP	40.0	# 35
Object Detection	COCO minival	Mask R-CNN (ResNet-50-FPN)	box AP	37.7	# 46
Instance Segmentation	COCO minival	Mask R-CNN (ResNet-50-FPN)	mask AP	33.6	# 13
Instance Segmentation	COCO minival	Mask R-CNN (ResNeXt-101-FPN)	mask AP	36.7	# 9
Instance Segmentation	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	mask AP	37.1%	# 11
Instance Segmentation	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	AP50	60	# 4
Instance Segmentation	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	AP75	39.4	# 3
Instance Segmentation	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	APS	16.9	# 4
Instance Segmentation	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	APM	39.9	# 4
Instance Segmentation	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	APL	53.5	# 5
Object Detection	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	box AP	39.8	# 49
Object Detection	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	AP50	62.3	# 31
Object Detection	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	AP75	43.4	# 41
Object Detection	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	APS	22.1	# 42
Object Detection	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	APM	43.2	# 35
Object Detection	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	APL	51.2	# 44
Object Detection	COCO test-dev	Mask R-CNN (ResNet-101-FPN)	box AP	38.2	# 57
Object Detection	COCO test-dev	Mask R-CNN (ResNet-101-FPN)	AP50	60.3	# 40
Object Detection	COCO test-dev	Mask R-CNN (ResNet-101-FPN)	AP75	41.7	# 50
Object Detection	COCO test-dev	Mask R-CNN (ResNet-101-FPN)	APS	20.1	# 53
Object Detection	COCO test-dev	Mask R-CNN (ResNet-101-FPN)	APM	41.1	# 44
Object Detection	COCO test-dev	Mask R-CNN (ResNet-101-FPN)	APL	50.2	# 47
Instance Segmentation	COCO test-dev	Mask R-CNN (ResNet-101-FPN)	mask AP	35.7%	# 13
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

Badge	Markdown
	`[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/mask-r-cnn/instance-segmentation-on-cityscapes)](https://paperswithcode.com/sota/instance-segmentation-on-cityscapes?p=mask-r-cnn)`
	`[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/mask-r-cnn/multi-human-parsing-on-mhp-v10)](https://paperswithcode.com/sota/multi-human-parsing-on-mhp-v10?p=mask-r-cnn)`
	`[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/mask-r-cnn/nuclear-segmentation-on-cell17)](https://paperswithcode.com/sota/nuclear-segmentation-on-cell17?p=mask-r-cnn)`
	`[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/mask-r-cnn/multi-human-parsing-on-mhp-v20)](https://paperswithcode.com/sota/multi-human-parsing-on-mhp-v20?p=mask-r-cnn)`
	`[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/mask-r-cnn/keypoint-detection-on-coco)](https://paperswithcode.com/sota/keypoint-detection-on-coco?p=mask-r-cnn)`
	`[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/mask-r-cnn/instance-segmentation-on-coco-minival)](https://paperswithcode.com/sota/instance-segmentation-on-coco-minival?p=mask-r-cnn)`
	`[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/mask-r-cnn/instance-segmentation-on-coco)](https://paperswithcode.com/sota/instance-segmentation-on-coco?p=mask-r-cnn)`
	`[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/mask-r-cnn/object-detection-on-coco-minival)](https://paperswithcode.com/sota/object-detection-on-coco-minival?p=mask-r-cnn)`
	`[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/mask-r-cnn/object-detection-on-coco)](https://paperswithcode.com/sota/object-detection-on-coco?p=mask-r-cnn)`

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/detectron2

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facebookresearch/maskrcnn-benchmark

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HUMAN PART SEGMENTATION

INSTANCE SEGMENTATION

KEYPOINT DETECTION

MULTI-HUMAN PARSING

NUCLEAR SEGMENTATION

OBJECT DETECTION

SEMANTIC SEGMENTATION

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

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TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK	COMPARE
Nuclear Segmentation	Cell17	Mask R-CNN	F1-score	0.8004	# 3	See all
Nuclear Segmentation	Cell17	Mask R-CNN	Dice	0.7070	# 3	See all
Nuclear Segmentation	Cell17	Mask R-CNN	Hausdorff	12.6723	# 3	See all
Instance Segmentation	Cityscapes test	Mask R-CNN + Coco	Average Precision	32.0	# 1	See all
Instance Segmentation	Cityscapes test	Mask R-CNN	Average Precision	26.2	# 2	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	# 9	See all
Instance Segmentation	COCO minival	Mask R-CNN (ResNet-101-FPN)	mask AP	35.4	# 12	See all
Object Detection	COCO minival	Mask R-CNN (ResNeXt-101-FPN)	box AP	36.7	# 47	See all
Object Detection	COCO minival	Mask R-CNN (ResNeXt-101-FPN)	AP50	59.5	# 20	See all
Object Detection	COCO minival	Mask R-CNN (ResNeXt-101-FPN)	AP75	38.9	# 30	See all
Object Detection	COCO minival	Mask R-CNN (ResNet-101-FPN)	box AP	40.0	# 35	See all
Object Detection	COCO minival	Mask R-CNN (ResNet-50-FPN)	box AP	37.7	# 46	See all
Instance Segmentation	COCO minival	Mask R-CNN (ResNet-50-FPN)	mask AP	33.6	# 13	See all
Instance Segmentation	COCO minival	Mask R-CNN (ResNeXt-101-FPN)	mask AP	36.7	# 9	See all
Instance Segmentation	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	mask AP	37.1%	# 11	See all
Instance Segmentation	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	AP50	60	# 4	See all
Instance Segmentation	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	AP75	39.4	# 3	See all
Instance Segmentation	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	APS	16.9	# 4	See all
Instance Segmentation	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	APM	39.9	# 4	See all
Instance Segmentation	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	APL	53.5	# 5	See all
Object Detection	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	box AP	39.8	# 49	See all
Object Detection	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	AP50	62.3	# 31	See all
Object Detection	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	AP75	43.4	# 41	See all
Object Detection	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	APS	22.1	# 42	See all
Object Detection	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	APM	43.2	# 35	See all
Object Detection	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	APL	51.2	# 44	See all
Object Detection	COCO test-dev	Mask R-CNN (ResNet-101-FPN)	box AP	38.2	# 57	See all
Object Detection	COCO test-dev	Mask R-CNN (ResNet-101-FPN)	AP50	60.3	# 40	See all
Object Detection	COCO test-dev	Mask R-CNN (ResNet-101-FPN)	AP75	41.7	# 50	See all
Object Detection	COCO test-dev	Mask R-CNN (ResNet-101-FPN)	APS	20.1	# 53	See all
Object Detection	COCO test-dev	Mask R-CNN (ResNet-101-FPN)	APM	41.1	# 44	See all
Object Detection	COCO test-dev	Mask R-CNN (ResNet-101-FPN)	APL	50.2	# 47	See all
Instance Segmentation	COCO test-dev	Mask R-CNN (ResNet-101-FPN)	mask AP	35.7%	# 13	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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