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 2211–2220 of 2262 papers

Title	Date	Tasks	Status
Using depth information and colour space variations for improving outdoor robustness for instance segmentation of cabbage	Mar 31, 2021	Instance SegmentationSegmentation	—Unverified
Using t-distributed stochastic neighbor embedding for visualization and segmentation of 3D point clouds of plants	Feb 7, 2023	Instance SegmentationSegmentation	—Unverified
US-net for robust and efficient nuclei instance segmentation	Jan 31, 2019	Instance SegmentationSegmentation	—Unverified
UVIS: Unsupervised Video Instance Segmentation	Jun 11, 2024	Instance SegmentationLanguage Modelling	—Unverified
Vehicle Instance Segmentation from Aerial Image and Video Using a Multi-Task Learning Residual Fully Convolutional Network	May 26, 2018	Instance SegmentationMulti-Task Learning	—Unverified
Vehicle Occurrence-based Parking Space Detection	Jun 16, 2023	Instance SegmentationManagement	—Unverified
VertDetect: Fully End-to-End 3D Vertebral Instance Segmentation Model	Nov 16, 2023	AnatomyInstance Segmentation	—Unverified
VFX Creator: Animated Visual Effect Generation with Controllable Diffusion Transformer	Feb 9, 2025	Image AnimationInstance Segmentation	—Unverified
Video Instance Segmentation by Instance Flow Assembly	Oct 20, 2021	Instance SegmentationObject	—Unverified
Video Instance Segmentation Tracking With a Modified VAE Architecture	Jun 1, 2020	Instance Segmentationobject-detection	—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