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 441–450 of 2262 papers

Title	Date	Tasks	Status	Hype
Task-Specific Adaptation of Segmentation Foundation Model via Prompt Learning	Mar 14, 2024	Image SegmentationInstance Segmentation	—Unverified	0
ViT-CoMer: Vision Transformer with Convolutional Multi-scale Feature Interaction for Dense Predictions	Mar 13, 2024	Instance SegmentationObject Detection	CodeCode Available	3
Segmentation Guided Sparse Transformer for Under-Display Camera Image Restoration	Mar 9, 2024	Image RestorationInstance Segmentation	—Unverified	0
SAM-PD: How Far Can SAM Take Us in Tracking and Segmenting Anything in Videos by Prompt Denoising	Mar 7, 2024	DenoisingInstance Segmentation	CodeCode Available	0
CenterDisks: Real-time instance segmentation with disk covering	Mar 5, 2024	GPUInstance Segmentation	CodeCode Available	0
MCA: Moment Channel Attention Networks	Mar 4, 2024	image-classificationImage Classification	CodeCode Available	0
RISeg: Robot Interactive Object Segmentation via Body Frame-Invariant Features	Mar 4, 2024	Instance SegmentationObject	—Unverified	0
End-to-End Human Instance Matting	Mar 3, 2024	Image MattingInstance Segmentation	CodeCode Available	1
Self-Supervised Representation Learning with Meta Comprehensive Regularization	Mar 3, 2024	counterfactualData Augmentation	—Unverified	0
Boosting Box-supervised Instance Segmentation with Pseudo Depth	Mar 2, 2024	Box-supervised Instance SegmentationDepth Estimation	—Unverified	0

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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