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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 601–625 of 2262 papers

Title	Date	Tasks	Status	Hype	Score
FoodSAM: Any Food Segmentation	Aug 11, 2023	Image SegmentationInstance Segmentation	CodeCode Available	1	5
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation	Aug 13, 2020	ClassificationFew-Shot Object Detection	CodeCode Available	1	5
DIOD: Self-Distillation Meets Object Discovery	Jan 1, 2024	Instance SegmentationKnowledge Distillation	CodeCode Available	1	5
DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision	May 13, 2021	Box-supervised Instance SegmentationInstance Segmentation	CodeCode Available	1	5
FreePoint: Unsupervised Point Cloud Instance Segmentation	May 11, 2023	Instance SegmentationSegmentation	CodeCode Available	1	5
On Point Affiliation in Feature Upsampling	Jul 17, 2023	DecoderDepth Estimation	CodeCode Available	1	5
Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction	Jun 1, 2022	image-classificationImage Classification	CodeCode Available	1	5
Distilling Knowledge via Knowledge Review	Apr 19, 2021	Instance SegmentationKnowledge Distillation	CodeCode Available	1	5
Embedding-based Instance Segmentation in Microscopy	Jan 25, 2021	GPUInstance Segmentation	CodeCode Available	1	5
Distribution Alignment: A Unified Framework for Long-tail Visual Recognition	Mar 30, 2021	General Classificationimage-classification	CodeCode Available	1	5
Fully Automated Scan-to-BIM Via Point Cloud Instance Segmentation	Sep 11, 2023	3D Instance Segmentation3D Semantic Segmentation	CodeCode Available	1	5
MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection	Sep 26, 2023	Instance SegmentationMixture-of-Experts	CodeCode Available	1	5
Monocular 3D Detection with Geometric Constraints Embedding and Semi-supervised Training	Sep 2, 2020	AttributeInstance Segmentation	CodeCode Available	1	5
Deep learning approaches to building rooftop thermal bridge detection from aerial images	Dec 12, 2022	Instance SegmentationObject Detection	CodeCode Available	1	5
Efficient Multi-Task RGB-D Scene Analysis for Indoor Environments	Jul 10, 2022	Instance SegmentationPanoptic Segmentation	CodeCode Available	1	5
Effective Self-supervised Pre-training on Low-compute Networks without Distillation	Oct 6, 2022	AttributeInstance Segmentation	CodeCode Available	1	5
Boundary-assisted Region Proposal Networks for Nucleus Segmentation	Jun 4, 2020	Boundary DetectionInstance Segmentation	CodeCode Available	1	5
A Comparative Evaluation of Deep Learning Techniques for Photovoltaic Panel Detection from Aerial Images	May 11, 2023	Instance SegmentationSemantic Segmentation	CodeCode Available	1	5
EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation	Apr 27, 2023	Domain AdaptationInstance Segmentation	CodeCode Available	1	5
Efficient Connectivity-Preserving Instance Segmentation with Supervoxel-Based Loss Function	Jan 2, 2025	Instance SegmentationSegmentation	CodeCode Available	1	5
MMV_Im2Im: An Open Source Microscopy Machine Vision Toolbox for Image-to-Image Transformation	Sep 6, 2022	Image GenerationImage Restoration	CodeCode Available	1	5
Deep High-Resolution Representation Learning for Human Pose Estimation	Feb 25, 2019	2D Human Pose Estimation2D Pose Estimation	CodeCode Available	1	5
BARS: A Benchmark for Airport Runway Segmentation	Oct 24, 2022	Instance SegmentationSegmentation	CodeCode Available	1	5
RankSeg: Adaptive Pixel Classification with Image Category Ranking for Segmentation	Mar 8, 2022	ClassificationInstance Segmentation	CodeCode Available	1	5
EfficientPS: Efficient Panoptic Segmentation	Apr 5, 2020	Instance SegmentationPanoptic Segmentation	CodeCode Available	1	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	GLEE-Pro	mask AP	54.2	—	Unverified
9	ViT-Adapter-L (HTC++, BEiTv2, O365, multi-scale)	mask AP	54.2	—	Unverified
10	SwinV2-G (HTC++)	mask AP	53.7	—	Unverified