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 1141–1150 of 2262 papers

Title	Date	Tasks	Status	Score
SimVODIS: Simultaneous Visual Odometry, Object Detection, and Instance Segmentation	Nov 14, 2019	Instance SegmentationObject	CodeCode Available	5
Single-Image Piece-wise Planar 3D Reconstruction via Associative Embedding	Feb 26, 2019	3D Plane Detection3D Reconstruction	CodeCode Available	5
Single Network Panoptic Segmentation for Street Scene Understanding	Feb 7, 2019	Instance SegmentationPanoptic Segmentation	CodeCode Available	5
IM2HEIGHT: Height Estimation from Single Monocular Imagery via Fully Residual Convolutional-Deconvolutional Network	Feb 28, 2018	Instance SegmentationSemantic Segmentation	CodeCode Available	5
Single-Shot Lightweight Model For The Detection of Lesions And The Prediction of COVID-19 From Chest CT Scans	Dec 2, 2020	ClassificationCOVID-19 Diagnosis	CodeCode Available	5
Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks	Aug 22, 2022	AllCross-Modal Retrieval	CodeCode Available	5
Vision Transformers for Weakly-Supervised Microorganism Enumeration	Dec 3, 2024	Density EstimationInstance Segmentation	CodeCode Available	5
Image-based Detection of Surface Defects in Concrete during Construction	Aug 3, 2022	Active LearningDefect Detection	CodeCode Available	5
Single-Stage Open-world Instance Segmentation with Cross-task Consistency Regularization	Aug 18, 2022	Autonomous DrivingInstance Segmentation	CodeCode Available	5
Trainable Structure Tensors for Autonomous Baggage Threat Detection Under Extreme Occlusion	Sep 28, 2020	Instance SegmentationSemantic Segmentation	CodeCode Available	5

Show:10 25 50

← PrevPage 115 of 227Next →

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