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 1876–1900 of 2262 papers

Title	Date	Tasks	Status
LevelSet R-CNN: A Deep Variational Method for Instance Segmentation	Jul 30, 2020	Autonomous DrivingInstance Segmentation	—Unverified
Self-Prediction for Joint Instance and Semantic Segmentation of Point Clouds	Jul 27, 2020	Instance SegmentationPrediction	—Unverified
Instance-aware Self-supervised Learning for Nuclei Segmentation	Jul 22, 2020	Instance SegmentationSegmentation	—Unverified
Darwin's Neural Network: AI-based Strategies for Rapid and Scalable Cell and Coronavirus Screening	Jul 22, 2020	BIG-bench Machine LearningInstance Segmentation	—Unverified
Split and Expand: An inference-time improvement for Weakly Supervised Cell Instance Segmentation	Jul 21, 2020	Bias DetectionInstance Segmentation	—Unverified
Can we cover navigational perception needs of the visually impaired by panoptic segmentation?	Jul 20, 2020	Deep LearningInstance Segmentation	—Unverified
Feature Pyramid Transformer	Jul 18, 2020	Instance Segmentationobject-detection	—Unverified
Weakly Supervised Instance Segmentation by Learning Annotation Consistent Instances	Jul 18, 2020	Image-level Supervised Instance SegmentationInstance Segmentation	—Unverified
CASNet: Common Attribute Support Network for image instance and panoptic segmentation	Jul 17, 2020	AttributeClustering	—Unverified
PerMO: Perceiving More at Once from a Single Image for Autonomous Driving	Jul 16, 2020	3D ReconstructionAutonomous Driving	—Unverified
TrashCan: A Semantically-Segmented Dataset towards Visual Detection of Marine Debris	Jul 16, 2020	Instance SegmentationObject	—Unverified
Unsupervised Spatio-temporal Latent Feature Clustering for Multiple-object Tracking and Segmentation	Jul 14, 2020	ClusteringInstance Segmentation	CodeCode Available
Improving Pixel Embedding Learning through Intermediate Distance Regression Supervision for Instance Segmentation	Jul 13, 2020	ClusteringDistance regression	—Unverified
Instance Segmentation for Whole Slide Imaging: End-to-End or Detect-Then-Segment	Jul 7, 2020	Instance SegmentationSegmentation	CodeCode Available
Unsupervised object-centric video generation and decomposition in 3D	Jul 7, 2020	3D Object DetectionDepth Estimation	CodeCode Available
Scalable, Proposal-free Instance Segmentation Network for 3D Pixel Clustering and Particle Trajectory Reconstruction in Liquid Argon Time Projection Chambers	Jul 6, 2020	ClusteringInstance Segmentation	—Unverified
Abnormal activity capture from passenger flow of elevator based on unsupervised learning and fine-grained multi-label recognition	Jun 29, 2020	Anomaly DetectionClustering	—Unverified
A Survey on Instance Segmentation: State of the art	Jun 28, 2020	Instance SegmentationObject	—Unverified
SASO: Joint 3D Semantic-Instance Segmentation via Multi-scale Semantic Association and Salient Point Clustering Optimization	Jun 25, 2020	3D Instance Segmentation3D Semantic Instance Segmentation	—Unverified
NINEPINS: Nuclei Instance Segmentation with Point Annotations	Jun 24, 2020	Instance SegmentationPseudo Label	—Unverified
LRPD: Long Range 3D Pedestrian Detection Leveraging Specific Strengths of LiDAR and RGB	Jun 17, 2020	Autonomous VehiclesInstance Segmentation	—Unverified
Geometry-Aware Instance Segmentation with Disparity Maps	Jun 14, 2020	Instance SegmentationSemantic Segmentation	CodeCode Available
Instance segmentation of buildings using keypoints	Jun 6, 2020	Instance SegmentationSegmentation	—Unverified
Density-Based Clustering for 3D Object Detection in Point Clouds	Jun 1, 2020	3D Object DetectionClustering	—Unverified
Video Instance Segmentation Tracking With a Modified VAE Architecture	Jun 1, 2020	Instance Segmentationobject-detection	—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