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 1951–1975 of 2262 papers

Title	Date	Tasks	Status	Hype
BlenderProc	Oct 25, 2019	3D Object RecognitionDepth Image Estimation	CodeCode Available	2
Learning to Track Any Object	Oct 25, 2019	Instance SegmentationObject	—Unverified	0
Team PFDet's Methods for Open Images Challenge 2019	Oct 25, 2019	Instance SegmentationObject	—Unverified	0
Identifying Unknown Instances for Autonomous Driving	Oct 24, 2019	Autonomous DrivingInstance Segmentation	—Unverified	0
SpatialFlow: Bridging All Tasks for Panoptic Segmentation	Oct 19, 2019	AllInstance Segmentation	CodeCode Available	1
Organ At Risk Segmentation with Multiple Modality	Oct 17, 2019	Brain Tumor SegmentationComputed Tomography (CT)	—Unverified	0
What's in my Room? Object Recognition on Indoor Panoramic Images	Oct 14, 2019	Instance SegmentationObject	—Unverified	0
Panoptic-DeepLab	Oct 10, 2019	DecoderInstance Segmentation	CodeCode Available	0
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks	Oct 8, 2019	Dimensionality Reductionimage-classification	CodeCode Available	2
Label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance Segmentation	Oct 7, 2019	General ClassificationImage-level Supervised Instance Segmentation	—Unverified	0
Self-supervised learning for autonomous vehicles perception: A conciliation between analytical and learning methods	Oct 3, 2019	Autonomous DrivingAutonomous Vehicles	—Unverified	0
Multi-view PointNet for 3D Scene Understanding	Sep 30, 2019	3D Instance Segmentation3D Semantic Segmentation	—Unverified	0
LIP: Learning Instance Propagation for Video Object Segmentation	Sep 30, 2019	Data AugmentationInstance Segmentation	—Unverified	0
End-to-End Deep Convolutional Active Contours for Image Segmentation	Sep 29, 2019	Image SegmentationInstance Segmentation	—Unverified	0
Salient Instance Segmentation via Subitizing and Clustering	Sep 29, 2019	ClusteringInstance Segmentation	—Unverified	0
PolarMask: Single Shot Instance Segmentation with Polar Representation	Sep 29, 2019	Distance regressionInstance Segmentation	CodeCode Available	1
Geomorphological Analysis Using Unpiloted Aircraft Systems, Structure from Motion, and Deep Learning	Sep 27, 2019	Instance SegmentationMorphological Analysis	—Unverified	0
Rethinking Task and Metrics of Instance Segmentation on 3D Point Clouds	Sep 27, 2019	Instance SegmentationSemantic Segmentation	—Unverified	0
MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution	Sep 27, 2019	GPUInstance Segmentation	CodeCode Available	1
Multi-Task Learning via Scale Aware Feature Pyramid Networks and Effective Joint Head	Sep 25, 2019	Instance SegmentationMulti-Task Learning	—Unverified	0
A closer look at network resolution for efficient network design	Sep 25, 2019	Instance Segmentationobject-detection	—Unverified	0
Rescan: Inductive Instance Segmentation for Indoor RGBD Scans	Sep 25, 2019	Instance SegmentationSegmentation	—Unverified	0
Gated Channel Transformation for Visual Recognition	Sep 25, 2019	General Classificationimage-classification	CodeCode Available	0
AdaptIS: Adaptive Instance Selection Network	Sep 17, 2019	Instance SegmentationPanoptic Segmentation	CodeCode Available	0
Global Aggregation then Local Distribution in Fully Convolutional Networks	Sep 16, 2019	Instance Segmentationobject-detection	CodeCode Available	1

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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