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 2201–2225 of 2262 papers

Title	Date	Tasks	Status
Simultaneous Semantic and Instance Segmentation for Colon Nuclei Identification and Counting	Mar 1, 2022	Instance SegmentationNuclear Segmentation	CodeCode Available
SimVODIS: Simultaneous Visual Odometry, Object Detection, and Instance Segmentation	Nov 14, 2019	Instance SegmentationObject	CodeCode Available
Single-Image Piece-wise Planar 3D Reconstruction via Associative Embedding	Feb 26, 2019	3D Plane Detection3D Reconstruction	CodeCode Available
Single Network Panoptic Segmentation for Street Scene Understanding	Feb 7, 2019	Instance SegmentationPanoptic Segmentation	CodeCode Available
A 3D Convolutional Approach to Spectral Object Segmentation in Space and Time	Jul 5, 2019	ClusteringGPU	CodeCode Available
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
A Spacecraft Dataset for Detection, Segmentation and Parts Recognition	Jun 15, 2021	Deep LearningInstance Segmentation	CodeCode Available
A Simple Single-Scale Vision Transformer for Object Localization and Instance Segmentation	Dec 17, 2021	image-classificationImage Classification	CodeCode Available
Artificial Intelligence-driven Image Analysis of Bacterial Cells and Biofilms	Dec 2, 2021	Instance SegmentationSemantic Segmentation	CodeCode Available
Single-Stage Open-world Instance Segmentation with Cross-task Consistency Regularization	Aug 18, 2022	Autonomous DrivingInstance Segmentation	CodeCode Available
Learning Regional Purity for Instance Segmentation on 3D Point Clouds	Nov 3, 2020	3D Instance Segmentation3D Semantic Segmentation	CodeCode Available
Learning Panoptic Segmentation from Instance Contours	Oct 16, 2020	ClusteringInstance Segmentation	CodeCode Available
U-NetPlus: A Modified Encoder-Decoder U-Net Architecture for Semantic and Instance Segmentation of Surgical Instrument	Feb 24, 2019	Data AugmentationDecoder	CodeCode Available
Learning Instance Segmentation by Interaction	Jun 21, 2018	Instance SegmentationSegmentation	CodeCode Available
Deep Leaf Segmentation Using Synthetic Data	Jul 28, 2018	Instance SegmentationSegmentation	CodeCode Available
WSESeg: Introducing a Dataset for the Segmentation of Winter Sports Equipment with a Baseline for Interactive Segmentation	Jul 12, 2024	Instance SegmentationInteractive Segmentation	CodeCode Available
Learning Instance Occlusion for Panoptic Segmentation	Jun 13, 2019	Instance SegmentationPanoptic Segmentation	CodeCode Available
SLoRD: Structural Low-Rank Descriptors for Shape Consistency in Vertebrae Segmentation	Jul 11, 2024	Instance SegmentationSegmentation	CodeCode Available
3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans	Dec 17, 2018	3D Instance Segmentation3D Object Detection	CodeCode Available
Slum Segmentation and Change Detection : A Deep Learning Approach	Nov 19, 2018	Change DetectionDeep Learning	CodeCode Available
An Underwater Image Semantic Segmentation Method Focusing on Boundaries and a Real Underwater Scene Semantic Segmentation Dataset	Aug 26, 2021	Boundary DetectionInstance Segmentation	CodeCode Available
Unsupervised Spatio-temporal Latent Feature Clustering for Multiple-object Tracking and Segmentation	Jul 14, 2020	ClusteringInstance Segmentation	CodeCode Available
SOCRATES: A Stereo Camera Trap for Monitoring of Biodiversity	Sep 19, 2022	Instance SegmentationStereo Matching	CodeCode Available
Deep Extreme Cut: From Extreme Points to Object Segmentation	Nov 24, 2017	Instance SegmentationInteractive Segmentation	CodeCode Available
Learning deep structured active contours end-to-end	Mar 16, 2018	Instance SegmentationSegmentation	CodeCode Available

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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