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 1851–1875 of 2262 papers

Title	Date	Tasks	Status	Hype
BANet: Bidirectional Aggregation Network with Occlusion Handling for Panoptic Segmentation	Mar 31, 2020	Instance SegmentationOcclusion Handling	CodeCode Available	0
FGN: Fully Guided Network for Few-Shot Instance Segmentation	Mar 31, 2020	Few-shot Instance SegmentationFew-Shot Learning	—Unverified	0
EOLO: Embedded Object Segmentation only Look Once	Mar 31, 2020	Distance regressionGPU	CodeCode Available	0
Real-Time Fruit Recognition and Grasping Estimation for Autonomous Apple Harvesting	Mar 30, 2020	Instance SegmentationRobotic Grasping	—Unverified	0
Spatial Attention Pyramid Network for Unsupervised Domain Adaptation	Mar 29, 2020	Domain AdaptationInstance Segmentation	—Unverified	0
Mask Encoding for Single Shot Instance Segmentation	Mar 26, 2020	Instance SegmentationSegmentation	—Unverified	0
What Deep CNNs Benefit from Global Covariance Pooling: An Optimization Perspective	Mar 25, 2020	Instance Segmentationobject-detection	CodeCode Available	1
Scalable learning for bridging the species gap in image-based plant phenotyping	Mar 24, 2020	Instance SegmentationPlant Phenotyping	CodeCode Available	1
SOLOv2: Dynamic and Fast Instance Segmentation	Mar 23, 2020	Instance Segmentationobject-detection	CodeCode Available	2
EPSNet: Efficient Panoptic Segmentation Network with Cross-layer Attention Fusion	Mar 23, 2020	GPUInstance Segmentation	CodeCode Available	1
Robust Medical Instrument Segmentation Challenge 2019	Mar 23, 2020	BenchmarkingInstance Segmentation	—Unverified	0
CentripetalNet: Pursuing High-quality Keypoint Pairs for Object Detection	Mar 20, 2020	Instance Segmentationobject-detection	CodeCode Available	1
STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos	Mar 18, 2020	Instance SegmentationSemantic Segmentation	CodeCode Available	1
Neural Mesh Refiner for 6-DoF Pose Estimation	Mar 17, 2020	Autonomous DrivingInstance Segmentation	—Unverified	0
1st Place Solutions for OpenImage2019 -- Object Detection and Instance Segmentation	Mar 17, 2020	General ClassificationInstance Segmentation	CodeCode Available	1
TACO: Trash Annotations in Context for Litter Detection	Mar 16, 2020	Instance SegmentationSegmentation	CodeCode Available	1
Deep Affinity Net: Instance Segmentation via Affinity	Mar 15, 2020	Clusteringgraph partitioning	—Unverified	0
OccuSeg: Occupancy-aware 3D Instance Segmentation	Mar 14, 2020	3D Instance SegmentationClustering	—Unverified	0
PointINS: Point-based Instance Segmentation	Mar 13, 2020	Instance SegmentationObject Detection	—Unverified	0
Conditional Convolutions for Instance Segmentation	Mar 12, 2020	Instance SegmentationSegmentation	CodeCode Available	1
Bi-Directional Attention for Joint Instance and Semantic Segmentation in Point Clouds	Mar 11, 2020	Instance SegmentationMulti-Task Learning	CodeCode Available	1
A Convolutional Neural Network for Point Cloud Instance Segmentation in Cluttered Scene Trained by Synthetic Data Without Color	Mar 5, 2020	3D Instance SegmentationAutonomous Driving	—Unverified	0
A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI	Mar 4, 2020	Instance SegmentationPanoptic Segmentation	—Unverified	0
3DCFS: Fast and Robust Joint 3D Semantic-Instance Segmentation via Coupled Feature Selection	Mar 1, 2020	3D Semantic Instance Segmentationfeature selection	—Unverified	0
FLIC: Fast Lidar Image Clustering	Mar 1, 2020	Autonomous DrivingClustering	—Unverified	0

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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