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 991–1000 of 2262 papers

Title	Date	Tasks	Status
GrowliFlower: An image time series dataset for GROWth analysis of cauLIFLOWER	Apr 1, 2022	Instance SegmentationSegmentation	—Unverified
Growing Instance Mask on Leaf	Nov 30, 2022	Instance SegmentationSegmentation	—Unverified
Learning to Infer Kinematic Hierarchies for Novel Object Instances	Oct 15, 2021	Instance SegmentationObject	—Unverified
Instance Segmentation for Point Sets	May 20, 2025	Instance SegmentationSegmentation	—Unverified
Learning Vector Quantized Shape Code for Amodal Blastomere Instance Segmentation	Dec 2, 2020	Amodal Instance SegmentationInstance Segmentation	—Unverified
Instance Segmentation GNNs for One-Shot Conformal Tracking at the LHC	Mar 11, 2021	3D Instance SegmentationInstance Segmentation	—Unverified
A three in one bottom-up framework for simultaneous semantic segmentation, instance segmentation and classification of multi-organ nuclei in digital cancer histology	Aug 22, 2023	ClassificationInstance Segmentation	—Unverified
Advancing SEM Based Nano-Scale Defect Analysis in Semiconductor Manufacturing for Advanced IC Nodes	Sep 6, 2024	Box-supervised Instance SegmentationDefect Detection	—Unverified
Grasp Anything: Combining Teacher-Augmented Policy Gradient Learning with Instance Segmentation to Grasp Arbitrary Objects	Mar 15, 2024	Instance SegmentationObject	—Unverified
Graph CNN for Moving Object Detection in Complex Environments from Unseen Videos	Jul 13, 2022	Change DetectionDeep Learning	—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