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 1526–1550 of 2262 papers

Title	Date	Tasks	Status	Hype
Guided Table Structure Recognition through Anchor Optimization	Apr 21, 2021	Instance Segmentationobject-detection	—Unverified	0
Distilling Knowledge via Knowledge Review	Apr 19, 2021	Instance SegmentationKnowledge Distillation	CodeCode Available	1
Fashion-Guided Adversarial Attack on Person Segmentation	Apr 17, 2021	Adversarial AttackHuman Instance Segmentation	CodeCode Available	0
RefineMask: Towards High-Quality Instance Segmentation with Fine-Grained Features	Apr 17, 2021	Instance SegmentationSemantic Segmentation	CodeCode Available	1
Advanced Deep Networks for 3D Mitochondria Instance Segmentation	Apr 16, 2021	3D Instance SegmentationDenoising	CodeCode Available	1
Ridge Regression Neural Network for Pediatric Bone Age Assessment	Apr 15, 2021	Instance Segmentationregression	—Unverified	0
Zero-Shot Instance Segmentation	Apr 14, 2021	Instance Segmentationobject-detection	CodeCode Available	1
HoughNet: Integrating near and long-range evidence for visual detection	Apr 14, 2021	3D Object DetectionImage Generation	CodeCode Available	1
Crossover Learning for Fast Online Video Instance Segmentation	Apr 13, 2021	Instance SegmentationSemantic Segmentation	CodeCode Available	1
Co-Scale Conv-Attentional Image Transformers	Apr 13, 2021	Instance Segmentationobject-detection	CodeCode Available	1
DropLoss for Long-Tail Instance Segmentation	Apr 13, 2021	Instance Segmentationobject-detection	CodeCode Available	1
Pointly-Supervised Instance Segmentation	Apr 13, 2021	Instance SegmentationObject	CodeCode Available	1
Common Limitations of Image Processing Metrics: A Picture Story	Apr 12, 2021	Instance Segmentationobject-detection	CodeCode Available	1
Visiting the Invisible: Layer-by-Layer Completed Scene Decomposition	Apr 12, 2021	Instance SegmentationScene Understanding	CodeCode Available	1
Volume and leaf area calculation of cabbage with a neural network-based instance segmentation	Apr 12, 2021	Instance SegmentationManagement	—Unverified	0
Look Closer to Segment Better: Boundary Patch Refinement for Instance Segmentation	Apr 12, 2021	Instance SegmentationSegmentation	CodeCode Available	1
Location-Sensitive Visual Recognition with Cross-IOU Loss	Apr 11, 2021	2D Human Pose EstimationInstance Segmentation	CodeCode Available	1
A Reinforcement-Learning-Based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline	Apr 9, 2021	Deep Reinforcement LearningInstance Segmentation	—Unverified	0
Contour Proposal Networks for Biomedical Instance Segmentation	Apr 7, 2021	Blood Cell DetectionCell Detection	CodeCode Available	1
Spatial Feature Calibration and Temporal Fusion for Effective One-stage Video Instance Segmentation	Apr 6, 2021	Instance SegmentationSegmentation	CodeCode Available	1
Weakly-supervised Instance Segmentation via Class-agnostic Learning with Salient Images	Apr 4, 2021	Box-supervised Instance SegmentationInstance Segmentation	CodeCode Available	0
DARCNN: Domain Adaptive Region-based Convolutional Neural Network forUnsupervised Instance Segmentation in Biomedical Images	Apr 3, 2021	Instance SegmentationMedical Image Segmentation	CodeCode Available	0
Recursively Refined R-CNN: Instance Segmentation with Self-RoI Rebalancing	Apr 3, 2021	Instance SegmentationObject Detection	CodeCode Available	0
DARCNN: Domain Adaptive Region-based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical Images	Apr 3, 2021	Domain AdaptationInstance Segmentation	CodeCode Available	0
Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision	Apr 2, 2021	Instance SegmentationNovel Object Detection	—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