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 1011–1020 of 2262 papers

Title	Date	Tasks	Status	Score
EOLO: Embedded Object Segmentation only Look Once	Mar 31, 2020	Distance regressionGPU	CodeCode Available	5
ENSeg: A Novel Dataset and Method for the Segmentation of Enteric Neuron Cells on Microscopy Images	Jan 21, 2025	Instance SegmentationMedical Image Segmentation	CodeCode Available	5
One Shot Model For COVID-19 Classification and Lesions Segmentation In Chest CT Scans Using LSTM With Attention Mechanism	Feb 19, 2021	COVID-19 DiagnosisCOVID-19 Image Segmentation	CodeCode Available	5
One Shot Model For COVID-19 Classification and Lesions Segmentation In Chest CT Scans Using LSTM With Attention Mechanism	Feb 19, 2021	Instance SegmentationSegmentation	CodeCode Available	5
Enhancing Generic Segmentation with Learned Region Representations	Nov 17, 2019	Edge DetectionInstance Segmentation	CodeCode Available	5
One Shot Model For The Prediction of COVID-19 and Lesions Segmentation In Chest CT Scans Through The Affinity Among Lesion Mask Features	Jan 4, 2021	COVID-19 DiagnosisInstance Segmentation	CodeCode Available	5
Enhanced Masked Image Modeling for Analysis of Dental Panoramic Radiographs	Jun 18, 2023	Instance SegmentationSelf-Supervised Learning	CodeCode Available	5
Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy Images	Jun 10, 2021	Cell TrackingInstance Segmentation	CodeCode Available	5
Cascade R-CNN: High Quality Object Detection and Instance Segmentation	Jun 24, 2019	Instance Segmentationobject-detection	CodeCode Available	5
End-to-end video instance segmentation via spatial-temporal graph neural networks	Mar 7, 2022	Graph Neural NetworkInstance Segmentation	CodeCode Available	5

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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