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 1926–1950 of 2262 papers

Title	Date	Tasks	Status	Hype
Learning Multi-Object Tracking and Segmentation from Automatic Annotations	Dec 4, 2019	Instance SegmentationMulti-Object Tracking	—Unverified	0
YOLACT++: Better Real-time Instance Segmentation	Dec 3, 2019	GPUInstance Segmentation	CodeCode Available	0
Automatic Video Object Segmentation via Motion-Appearance-Stream Fusion and Instance-aware Segmentation	Dec 3, 2019	Foreground SegmentationInstance Segmentation	—Unverified	0
SAIS: Single-stage Anchor-free Instance Segmentation	Dec 3, 2019	Instance Segmentationregression	—Unverified	0
Weakly Supervised Instance Segmentation using the Bounding Box Tightness Prior	Dec 1, 2019	Box-supervised Instance SegmentationInstance Segmentation	CodeCode Available	0
Point Cloud Instance Segmentation using Probabilistic Embeddings	Nov 30, 2019	3D Instance SegmentationClustering	—Unverified	0
Weakly Supervised Cell Instance Segmentation by Propagating from Detection Response	Nov 29, 2019	Cell SegmentationCultural Vocal Bursts Intensity Prediction	CodeCode Available	1
Fruit Detection, Segmentation and 3D Visualisation of Environments in Apple Orchards	Nov 28, 2019	Computational EfficiencyInstance Segmentation	—Unverified	0
PanDA: Panoptic Data Augmentation	Nov 27, 2019	Data AugmentationInstance Segmentation	—Unverified	0
Deeply Shape-guided Cascade for Instance Segmentation	Nov 25, 2019	Instance SegmentationRegion Proposal	CodeCode Available	0
Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation	Nov 22, 2019	DecoderInstance Segmentation	CodeCode Available	0
Rethinking Normalization and Elimination Singularity in Neural Networks	Nov 21, 2019	image-classificationImage Classification	CodeCode Available	0
All You Need Is Boundary: Toward Arbitrary-Shaped Text Spotting	Nov 21, 2019	AllInstance Segmentation	—Unverified	0
Object-Guided Instance Segmentation for Biological Images	Nov 20, 2019	ClusteringInstance Segmentation	—Unverified	0
SOGNet: Scene Overlap Graph Network for Panoptic Segmentation	Nov 18, 2019	Instance SegmentationPanoptic Segmentation	CodeCode Available	0
Oriented Boxes for Accurate Instance Segmentation	Nov 18, 2019	Instance SegmentationSegmentation	—Unverified	0
Enhancing Generic Segmentation with Learned Region Representations	Nov 17, 2019	Edge DetectionInstance Segmentation	CodeCode Available	0
CenterMask : Real-Time Anchor-Free Instance Segmentation	Nov 15, 2019	Instance SegmentationObject Detection	CodeCode Available	1
SimVODIS: Simultaneous Visual Odometry, Object Detection, and Instance Segmentation	Nov 14, 2019	Instance SegmentationObject	CodeCode Available	0
Equalization Loss for Large Vocabulary Instance Segmentation	Nov 12, 2019	Instance Segmentationobject-detection	—Unverified	0
Recurrent Instance Segmentation using Sequences of Referring Expressions	Nov 5, 2019	Instance SegmentationReferring Expression	—Unverified	0
PPR-Net:Point-wise Pose Regression Network for Instance Segmentation and 6D Pose Estimation in Bin-picking Scenarios	Nov 3, 2019	6D Pose EstimationInstance Segmentation	CodeCode Available	0
Single-Shot Panoptic Segmentation	Nov 2, 2019	DecoderInstance Segmentation	—Unverified	0
Classification Calibration for Long-tail Instance Segmentation	Oct 29, 2019	ClassificationGeneral Classification	CodeCode Available	1
Towards Good Practices for Instance Segmentation	Oct 28, 2019	Instance SegmentationSegmentation	—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