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 1371–1380 of 2262 papers

Title	Date	Tasks	Status
CAP-Net: A Unified Network for 6D Pose and Size Estimation of Categorical Articulated Parts from a Single RGB-D Image	Apr 15, 2025	Instance SegmentationPose Estimation	—Unverified
CARAFE++: Unified Content-Aware ReAssembly of FEatures	Dec 7, 2020	Image InpaintingInstance Segmentation	—Unverified
CASNet: Common Attribute Support Network for image instance and panoptic segmentation	Jul 17, 2020	AttributeClustering	—Unverified
CAST: Contrastive Adaptation and Distillation for Semi-Supervised Instance Segmentation	May 28, 2025	Domain AdaptationInstance Segmentation	—Unverified
Category-level Shape Estimation for Densely Cluttered Objects	Feb 23, 2023	Instance SegmentationObject	—Unverified
CAT: Learning to Collaborate Channel and Spatial Attention from Multi-Information Fusion	Dec 13, 2022	image-classificationImage Classification	—Unverified
CellMixer: Annotation-free Semantic Cell Segmentation of Heterogeneous Cell Populations	Dec 1, 2023	Cell SegmentationInstance Segmentation	—Unverified
CellSegmenter: unsupervised representation learning and instance segmentation of modular images	Nov 25, 2020	Instance SegmentationRepresentation Learning	—Unverified
CellTranspose: Few-shot Domain Adaptation for Cellular Instance Segmentation	Dec 28, 2022	Domain AdaptationInstance Segmentation	—Unverified
Center-Extraction-Based Three Dimensional Nuclei Instance Segmentation of Fluorescence Microscopy Images	Sep 13, 2019	Instance SegmentationSegmentation	—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