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 1276–1300 of 2262 papers

Title	Date	Tasks	Status
AnySynth: Harnessing the Power of Image Synthetic Data Generation for Generalized Vision-Language Tasks	Nov 24, 2024	Few-Shot Object DetectionImage Generation	—Unverified
AOP-Net: All-in-One Perception Network for Joint LiDAR-based 3D Object Detection and Panoptic Segmentation	Feb 2, 2023	3D Object DetectionAll	—Unverified
Applications of Knowledge Distillation in Remote Sensing: A Survey	Sep 18, 2024	Computational EfficiencyInstance Segmentation	—Unverified
APSeg: Auto-Prompt Model with Acquired and Injected Knowledge for Nuclear Instance Segmentation and Classification	Apr 3, 2025	ClassificationInstance Segmentation	—Unverified
Are Deep Learning Models Robust to Partial Object Occlusion in Visual Recognition Tasks?	Sep 16, 2024	Data Augmentationimage-classification	—Unverified
A Reinforcement-Learning-Based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline	Apr 9, 2021	Deep Reinforcement LearningInstance Segmentation	—Unverified
Are Large-scale Datasets Necessary for Self-Supervised Pre-training?	Dec 20, 2021	DenoisingInstance Segmentation	—Unverified
A Review and A Robust Framework of Data-Efficient 3D Scene Parsing with Traditional/Learned 3D Descriptors	Dec 3, 2023	Active LearningInstance Segmentation	—Unverified
ARMBench: An Object-centric Benchmark Dataset for Robotic Manipulation	Mar 29, 2023	Defect DetectionInstance Segmentation	—Unverified
Artistic Instance-Aware Image Filtering by Convolutional Neural Networks	Sep 22, 2018	Instance Segmentationobject-detection	—Unverified
A SAM-based Solution for Hierarchical Panoptic Segmentation of Crops and Weeds Competition	Sep 24, 2023	Instance Segmentationobject-detection	—Unverified
A Self-Supervised Method for Body Part Segmentation and Keypoint Detection of Rat Images	May 7, 2024	Instance SegmentationKeypoint Detection	—Unverified
A Semantic Consistency Feature Alignment Object Detection Model Based on Mixed-Class Distribution Metrics	Jun 12, 2022	Domain AdaptationInstance Segmentation	—Unverified
A Simple and Generic Framework for Feature Distillation via Channel-wise Transformation	Mar 23, 2023	image-classificationImage Classification	—Unverified
A Simple Background Augmentation Method for Object Detection with Diffusion Model	Aug 1, 2024	Data AugmentationDiversity	—Unverified
ASIST: Annotation-free synthetic instance segmentation and tracking for microscope video analysis	Nov 2, 2020	Generative Adversarial NetworkImage Segmentation	—Unverified
Assessing SAM for Tree Crown Instance Segmentation from Drone Imagery	Mar 26, 2025	Instance SegmentationSemantic Segmentation	—Unverified
Assessing YOLACT++ for real time and robust instance segmentation of medical instruments in endoscopic procedures	Mar 30, 2021	Instance SegmentationReal-time Instance Segmentation	—Unverified
Associating Inter-Image Salient Instances for Weakly Supervised Semantic Segmentation	Sep 1, 2018	Clusteringgraph partitioning	—Unverified
A Survey on Cell Nuclei Instance Segmentation and Classification: Leveraging Context and Attention	Jul 26, 2024	ClassificationInstance Segmentation	—Unverified
A Survey on Instance Segmentation: State of the art	Jun 28, 2020	Instance SegmentationObject	—Unverified
A Survey on Label-efficient Deep Image Segmentation: Bridging the Gap between Weak Supervision and Dense Prediction	Jul 4, 2022	Image SegmentationInstance Segmentation	—Unverified
AsyInst: Asymmetric Affinity with DepthGrad and Color for Box-Supervised Instance Segmentation	Dec 7, 2022	Box-supervised Instance SegmentationInstance Segmentation	—Unverified
A Temporal Modeling Framework for Video Pre-Training on Video Instance Segmentation	Mar 22, 2025	Instance SegmentationSemantic 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

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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