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 1991–2000 of 2262 papers

Title	Date	Tasks	Status
PPR-Net:Point-wise Pose Regression Network for Instance Segmentation and 6D Pose Estimation in Bin-picking Scenarios	Nov 3, 2019	6D Pose EstimationInstance Segmentation	CodeCode Available
Single-Shot Panoptic Segmentation	Nov 2, 2019	DecoderInstance Segmentation	—Unverified
Towards Good Practices for Instance Segmentation	Oct 28, 2019	Instance SegmentationSegmentation	—Unverified
Team PFDet's Methods for Open Images Challenge 2019	Oct 25, 2019	Instance SegmentationObject	—Unverified
Learning to Track Any Object	Oct 25, 2019	Instance SegmentationObject	—Unverified
Identifying Unknown Instances for Autonomous Driving	Oct 24, 2019	Autonomous DrivingInstance Segmentation	—Unverified
Organ At Risk Segmentation with Multiple Modality	Oct 17, 2019	Brain Tumor SegmentationComputed Tomography (CT)	—Unverified
What's in my Room? Object Recognition on Indoor Panoramic Images	Oct 14, 2019	Instance SegmentationObject	—Unverified
Panoptic-DeepLab	Oct 10, 2019	DecoderInstance Segmentation	CodeCode Available
Label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance Segmentation	Oct 7, 2019	General ClassificationImage-level Supervised Instance 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