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 251–275 of 2262 papers

Title	Date	Tasks	Status	Hype
Deep Variational Instance Segmentation	Jul 22, 2020	Instance SegmentationSegmentation	CodeCode Available	1
FipTR: A Simple yet Effective Transformer Framework for Future Instance Prediction in Autonomous Driving	Apr 19, 2024	Autonomous DrivingInstance Segmentation	CodeCode Available	1
Focal Self-attention for Local-Global Interactions in Vision Transformers	Jul 1, 2021	image-classificationImage Classification	CodeCode Available	1
FoodSAM: Any Food Segmentation	Aug 11, 2023	Image SegmentationInstance Segmentation	CodeCode Available	1
DeepSportradar-v1: Computer Vision Dataset for Sports Understanding with High Quality Annotations	Aug 17, 2022	Camera CalibrationInstance Segmentation	CodeCode Available	1
A Robust Feature Downsampling Module for Remote Sensing Visual Tasks	Jun 1, 2023	image-classificationImage Classification	CodeCode Available	1
Deep Structured Instance Graph for Distilling Object Detectors	Sep 27, 2021	Instance SegmentationKnowledge Distillation	CodeCode Available	1
Delving Deeper into Anti-aliasing in ConvNets	Aug 21, 2020	Instance SegmentationSegmentation	CodeCode Available	1
A Review of Panoptic Segmentation for Mobile Mapping Point Clouds	Apr 27, 2023	Instance SegmentationPanoptic Segmentation	CodeCode Available	1
Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers	Mar 23, 2021	Amodal Instance SegmentationBoundary Detection	CodeCode Available	1
Deep Learning based Food Instance Segmentation using Synthetic Data	Jul 15, 2021	Deep LearningInstance Segmentation	CodeCode Available	1
Deep High-Resolution Representation Learning for Visual Recognition	Aug 20, 2019	Dichotomous Image SegmentationFace Alignment	CodeCode Available	1
Deep-learning in the bioimaging wild: Handling ambiguous data with deepflash2	Nov 12, 2021	Deep LearningInstance Segmentation	CodeCode Available	1
Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance Segmentation	Jul 21, 2020	Instance SegmentationKnowledge Distillation	CodeCode Available	1
Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation	May 20, 2025	Few-Shot Object DetectionInstance Segmentation	CodeCode Available	1
Deep High-Resolution Representation Learning for Human Pose Estimation	Feb 25, 2019	2D Human Pose Estimation2D Pose Estimation	CodeCode Available	1
3D Part Guided Image Editing for Fine-Grained Object Understanding	Jun 1, 2020	Autonomous DrivingInstance Segmentation	CodeCode Available	1
DCT-Mask: Discrete Cosine Transform Mask Representation for Instance Segmentation	Nov 19, 2020	Instance SegmentationSemantic Segmentation	CodeCode Available	1
Deep learning approaches to building rooftop thermal bridge detection from aerial images	Dec 12, 2022	Instance SegmentationObject Detection	CodeCode Available	1
Detect, consolidate, delineate: scalable mapping of field boundaries using satellite images	Jun 4, 2021	Instance SegmentationSemantic Segmentation	CodeCode Available	1
Applying Eigencontours to PolarMask-Based Instance Segmentation	Aug 24, 2022	Instance SegmentationSegmentation	CodeCode Available	1
AdaLog: Post-Training Quantization for Vision Transformers with Adaptive Logarithm Quantizer	Jul 17, 2024	Instance Segmentationobject-detection	CodeCode Available	1
Cyclic Learning: Bridging Image-level Labels and Nuclei Instance Segmentation	Jun 5, 2023	Instance SegmentationMulti-Task Learning	CodeCode Available	1
A One Stop 3D Target Reconstruction and multilevel Segmentation Method	Aug 14, 2023	3D Object Reconstruction3D Reconstruction	CodeCode Available	1
D2Det: Towards High Quality Object Detection and Instance Segmentation	Jun 1, 2020	Instance SegmentationObject	CodeCode Available	1

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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