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	# 11
Object Detection	COCO minival	Mask R-CNN (ResNeXt-101-FPN)	box AP	36.7	# 44
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	# 32
Object Detection	COCO minival	Mask R-CNN (ResNet-50-FPN)	box AP	37.7	# 43
Instance Segmentation	COCO minival	Mask R-CNN (ResNet-50-FPN)	mask AP	33.6	# 12
Instance Segmentation	COCO minival	Mask R-CNN (ResNeXt-101-FPN)	mask AP	36.7	# 8
Instance Segmentation	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	mask AP	37.1%	# 10
Instance Segmentation	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	AP50	60	# 1
Instance Segmentation	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	AP75	39.4	# 1
Instance Segmentation	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	APS	16.9	# 1
Instance Segmentation	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	APM	39.9	# 1
Instance Segmentation	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	APL	53.5	# 1
Object Detection	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	box AP	39.8	# 38
Object Detection	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	AP50	62.3	# 28
Object Detection	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	AP75	43.4	# 36
Object Detection	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	APS	22.1	# 39
Object Detection	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	APM	43.2	# 29
Object Detection	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	APL	51.2	# 38
Object Detection	COCO test-dev	Mask R-CNN (ResNet-101-FPN)	box AP	38.2	# 45
Object Detection	COCO test-dev	Mask R-CNN (ResNet-101-FPN)	AP50	60.3	# 36
Object Detection	COCO test-dev	Mask R-CNN (ResNet-101-FPN)	AP75	41.7	# 44
Object Detection	COCO test-dev	Mask R-CNN (ResNet-101-FPN)	APS	20.1	# 50
Object Detection	COCO test-dev	Mask R-CNN (ResNet-101-FPN)	APM	41.1	# 38
Object Detection	COCO test-dev	Mask R-CNN (ResNet-101-FPN)	APL	50.2	# 41
Instance Segmentation	COCO test-dev	Mask R-CNN (ResNet-101-FPN)	mask AP	35.7%	# 11
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/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/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)](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)

PDF Abstract

Code

Add Remove

tensorflow/models

59,510

facebookresearch/detectron

22,371

matterport/Mask_RCNN

14,823

facebookresearch/maskrcnn-benchmark

6,899

tensorpack/tensorpack

5,017

See all 76 implementations

Tasks

Add Remove

HUMAN PART SEGMENTATION

INSTANCE SEGMENTATION

KEYPOINT DETECTION

MULTI-HUMAN PARSING

NUCLEAR SEGMENTATION

OBJECT DETECTION

SEMANTIC SEGMENTATION

Evaluation Results from the Paper

Add Remove

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

Get a GitHub badge

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	# 11	See all
Object Detection	COCO minival	Mask R-CNN (ResNeXt-101-FPN)	box AP	36.7	# 44	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	# 32	See all
Object Detection	COCO minival	Mask R-CNN (ResNet-50-FPN)	box AP	37.7	# 43	See all
Instance Segmentation	COCO minival	Mask R-CNN (ResNet-50-FPN)	mask AP	33.6	# 12	See all
Instance Segmentation	COCO minival	Mask R-CNN (ResNeXt-101-FPN)	mask AP	36.7	# 8	See all
Instance Segmentation	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	mask AP	37.1%	# 10	See all
Instance Segmentation	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	AP50	60	# 1	See all
Instance Segmentation	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	AP75	39.4	# 1	See all
Instance Segmentation	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	APS	16.9	# 1	See all
Instance Segmentation	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	APM	39.9	# 1	See all
Instance Segmentation	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	APL	53.5	# 1	See all
Object Detection	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	box AP	39.8	# 38	See all
Object Detection	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	AP50	62.3	# 28	See all
Object Detection	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	AP75	43.4	# 36	See all
Object Detection	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	APS	22.1	# 39	See all
Object Detection	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	APM	43.2	# 29	See all
Object Detection	COCO test-dev	Mask R-CNN (ResNeXt-101-FPN)	APL	51.2	# 38	See all
Object Detection	COCO test-dev	Mask R-CNN (ResNet-101-FPN)	box AP	38.2	# 45	See all
Object Detection	COCO test-dev	Mask R-CNN (ResNet-101-FPN)	AP50	60.3	# 36	See all
Object Detection	COCO test-dev	Mask R-CNN (ResNet-101-FPN)	AP75	41.7	# 44	See all
Object Detection	COCO test-dev	Mask R-CNN (ResNet-101-FPN)	APS	20.1	# 50	See all
Object Detection	COCO test-dev	Mask R-CNN (ResNet-101-FPN)	APM	41.1	# 38	See all
Object Detection	COCO test-dev	Mask R-CNN (ResNet-101-FPN)	APL	50.2	# 41	See all
Instance Segmentation	COCO test-dev	Mask R-CNN (ResNet-101-FPN)	mask AP	35.7%	# 11	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

Code Edit Add Remove

Tasks Edit Add Remove

Evaluation Results from the Paper Edit Add Remove

Code

Add Remove

Tasks

Add Remove

Evaluation Results from the Paper

Add Remove