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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 341–350 of 2262 papers

Title	Date	Tasks	Status	Hype
FinnWoodlands Dataset	Apr 3, 2023	Autonomous DrivingDepth Completion	CodeCode Available	1
JacobiNeRF: NeRF Shaping with Mutual Information Gradients	Apr 1, 2023	Instance SegmentationNeRF	CodeCode Available	1
SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer	Mar 30, 2023	2D Semantic Segmentation3D Object Detection	CodeCode Available	1
The Devil is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation	Mar 27, 2023	Instance SegmentationSemantic Segmentation	CodeCode Available	1
Hi4D: 4D Instance Segmentation of Close Human Interaction	Mar 27, 2023	Instance SegmentationSemantic Segmentation	CodeCode Available	1
BoxVIS: Video Instance Segmentation with Box Annotations	Mar 26, 2023	Instance SegmentationSemantic Segmentation	CodeCode Available	1
You Only Need One Thing One Click: Self-Training for Weakly Supervised 3D Scene Understanding	Mar 26, 2023	3D Instance SegmentationInstance Segmentation	CodeCode Available	1
DoNet: Deep De-overlapping Network for Cytology Instance Segmentation	Mar 25, 2023	Instance SegmentationRegion Proposal	CodeCode Available	1
MDQE: Mining Discriminative Query Embeddings to Segment Occluded Instances on Challenging Videos	Mar 25, 2023	Instance SegmentationSemantic Segmentation	CodeCode Available	1
Position-Guided Point Cloud Panoptic Segmentation Transformer	Mar 23, 2023	Instance SegmentationPanoptic Segmentation	CodeCode Available	1

Show:10 25 50

← PrevPage 35 of 227Next →

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	GLEE-Pro	mask AP	54.2	—	Unverified
9	ViT-Adapter-L (HTC++, BEiTv2, O365, multi-scale)	mask AP	54.2	—	Unverified
10	SwinV2-G (HTC++)	mask AP	53.7	—	Unverified