Instance Segmentation

Instance Segmentation is a computer vision task that involves identifying and separating individual objects within an image, including detecting the boundaries of each object and assigning a unique label to each object. The goal of instance segmentation is to produce a pixel-wise segmentation map of the image, where each pixel is assigned to a specific object instance.

Image Credit: Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers, CVPR'21

Papers

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Showing 2201–2225 of 2262 papers

Title	Date	Tasks	Status
Brain Tumor Segmentation Based on Refined Fully Convolutional Neural Networks with A Hierarchical Dice Loss	Dec 25, 2017	Binary ClassificationBrain Tumor Segmentation	CodeCode Available
Recurrent Pixel Embedding for Instance Grouping	Dec 22, 2017	Boundary DetectionClustering	CodeCode Available
The ParallelEye Dataset: Constructing Large-Scale Artificial Scenes for Traffic Vision Research	Dec 22, 2017	Instance SegmentationObject Tracking	—Unverified
MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features	Dec 13, 2017	Instance SegmentationObject	—Unverified
iPose: Instance-Aware 6D Pose Estimation of Partly Occluded Objects	Dec 5, 2017	6D Pose Estimation6D Pose Estimation using RGB	—Unverified
Recurrent Neural Networks for Semantic Instance Segmentation	Dec 2, 2017	Instance SegmentationObject	CodeCode Available
Learning to Segment Every Thing	Nov 28, 2017	Instance SegmentationSegmentation	CodeCode Available
Exploiting the potential of unlabeled endoscopic video data with self-supervised learning	Nov 27, 2017	ColorizationGenerative Adversarial Network	—Unverified
Deep Extreme Cut: From Extreme Points to Object Segmentation	Nov 24, 2017	Instance SegmentationInteractive Segmentation	CodeCode Available
Distance to Center of Mass Encoding for Instance Segmentation	Nov 24, 2017	Instance SegmentationObject	CodeCode Available
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation	Nov 23, 2017	3D Instance Segmentation3D Object Detection	CodeCode Available
S4Net: Single Stage Salient-Instance Segmentation	Nov 21, 2017	Instance SegmentationSegmentation	CodeCode Available
Multi-Task Domain Adaptation for Deep Learning of Instance Grasping from Simulation	Oct 17, 2017	Domain AdaptationInstance Segmentation	—Unverified
The Mapillary Vistas Dataset for Semantic Understanding of Street Scenes	Oct 1, 2017	DiversityImage Segmentation	—Unverified
SGN: Sequential Grouping Networks for Instance Segmentation	Oct 1, 2017	Instance SegmentationObject	—Unverified
Bounding Boxes, Segmentations and Object Coordinates: How Important Is Recognition for 3D Scene Flow Estimation in Autonomous Driving Scenarios?	Oct 1, 2017	Autonomous DrivingInstance Segmentation	—Unverified
SceneNet RGB-D: Can 5M Synthetic Images Beat Generic ImageNet Pre-Training on Indoor Segmentation?	Oct 1, 2017	16kCamera Pose Estimation	—Unverified
Semi-Supervised Hierarchical Semantic Object Parsing	Sep 23, 2017	Instance SegmentationObject	—Unverified
Playing for Benchmarks	Sep 21, 2017	Instance Segmentationobject-detection	—Unverified
Efficient Column Generation for Cell Detection and Segmentation	Sep 21, 2017	Cell DetectionInstance Segmentation	—Unverified
Leveraging multiple datasets for deep leaf counting	Sep 5, 2017	Instance SegmentationSegmentation	—Unverified
Fast Scene Understanding for Autonomous Driving	Aug 8, 2017	Autonomous DrivingDecoder	CodeCode Available
Semantic Instance Segmentation with a Discriminative Loss Function	Aug 8, 2017	Instance SegmentationLane Detection	CodeCode Available
Augmented Reality Meets Computer Vision : Efficient Data Generation for Urban Driving Scenes	Aug 4, 2017	Instance SegmentationObject	—Unverified
Spatio-temporal Human Action Localisation and Instance Segmentation in Temporally Untrimmed Videos	Jul 22, 2017	Action RecognitionInstance Segmentation	—Unverified

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All datasets COCO test-dev COCO minival LVIS v1.0 val Cityscapes val ADE20K val ARMBench Occluded COCO OoDIS Separated COCO TBBR BDD100K val COCO val (panoptic labels)

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	InternImage-H	AP50	80.8	—	Unverified
2	ResNeSt-200 (multi-scale)	AP50	70.2	—	Unverified
3	CenterMask + VoVNetV2-99 (multi-scale)	AP50	66.2	—	Unverified
4	CenterMask + VoVNetV2-57 (single-scale)	AP50	60.8	—	Unverified
5	Co-DETR	mask AP	57.1	—	Unverified
6	CBNetV2 (EVA02, single-scale)	mask AP	56.1	—	Unverified
7	ISDA (ResNet-50)	APL	55.7	—	Unverified
8	EVA	mask AP	55.5	—	Unverified
9	FD-SwinV2-G	mask AP	55.4	—	Unverified
10	Mask Frozen-DETR	mask AP	55.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	InternImage-B	GFLOPs	501	—	Unverified
2	Co-DETR	mask AP	56.6	—	Unverified
3	ViT-CoMer-L (Mask RCNN, DINOv2)	mask AP	55.9	—	Unverified
4	InternImage-H	mask AP	55.4	—	Unverified
5	EVA	mask AP	55	—	Unverified
6	Mask Frozen-DETR	mask AP	54.9	—	Unverified
7	MasK DINO (SwinL, multi-scale)	mask AP	54.5	—	Unverified
8	ViT-Adapter-L (HTC++, BEiTv2, O365, multi-scale)	mask AP	54.2	—	Unverified
9	GLEE-Pro	mask AP	54.2	—	Unverified
10	SwinV2-G (HTC++)	mask AP	53.7	—	Unverified