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 1761–1770 of 2262 papers

Title	Date	Tasks	Status
Ridge Regression Neural Network for Pediatric Bone Age Assessment	Apr 15, 2021	Instance Segmentationregression	—Unverified
Volume and leaf area calculation of cabbage with a neural network-based instance segmentation	Apr 12, 2021	Instance SegmentationManagement	—Unverified
A Reinforcement-Learning-Based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline	Apr 9, 2021	Deep Reinforcement LearningInstance Segmentation	—Unverified
Weakly-supervised Instance Segmentation via Class-agnostic Learning with Salient Images	Apr 4, 2021	Box-supervised Instance SegmentationInstance Segmentation	CodeCode Available
DARCNN: Domain Adaptive Region-based Convolutional Neural Network forUnsupervised Instance Segmentation in Biomedical Images	Apr 3, 2021	Instance SegmentationMedical Image Segmentation	CodeCode Available
Recursively Refined R-CNN: Instance Segmentation with Self-RoI Rebalancing	Apr 3, 2021	Instance SegmentationObject Detection	CodeCode Available
DARCNN: Domain Adaptive Region-based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical Images	Apr 3, 2021	Domain AdaptationInstance Segmentation	CodeCode Available
Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision	Apr 2, 2021	Instance SegmentationNovel Object Detection	—Unverified
The surprising impact of mask-head architecture on novel class segmentation	Apr 1, 2021	Instance SegmentationSegmentation	CodeCode Available
Learning to Track Instances without Video Annotations	Apr 1, 2021	Instance SegmentationPose Estimation	—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	GLEE-Pro	mask AP	54.2	—	Unverified
9	ViT-Adapter-L (HTC++, BEiTv2, O365, multi-scale)	mask AP	54.2	—	Unverified
10	SwinV2-G (HTC++)	mask AP	53.7	—	Unverified