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 1901–1925 of 2262 papers

Title	Date	Tasks	Status
Computer Vision for Recognition of Materials and Vessels in Chemistry Lab Settings and the Vector-LabPics Data Set	Jun 1, 2020	Instance SegmentationMaterial Recognition	—Unverified
Joint 3D Instance Segmentation and Object Detection for Autonomous Driving	Jun 1, 2020	3D Instance Segmentation3D Object Detection	—Unverified
End-to-End 3D Point Cloud Instance Segmentation Without Detection	Jun 1, 2020	3D Instance SegmentationInstance Segmentation	—Unverified
TESA: Tensor Element Self-Attention via Matricization	Jun 1, 2020	Image InpaintingImage Segmentation	—Unverified
Deep Polarization Cues for Transparent Object Segmentation	Jun 1, 2020	Instance SegmentationObject	—Unverified
Automated Measurements of Key Morphological Features of Human Embryos for IVF	May 29, 2020	Instance SegmentationSegmentation	—Unverified
On Mutual Information in Contrastive Learning for Visual Representations	May 27, 2020	Contrastive LearningGeneral Classification	—Unverified
An interpretable automated detection system for FISH-based HER2 oncogene amplification testing in histo-pathological routine images of breast and gastric cancer diagnostics	May 25, 2020	Diagnosticimage-classification	CodeCode Available
Panoptic Instance Segmentation on Pigs	May 21, 2020	Instance SegmentationPanoptic Segmentation	—Unverified
What Makes for Good Views for Contrastive Learning?	May 20, 2020	Contrastive LearningData Augmentation	—Unverified
Self-supervised Transfer Learning for Instance Segmentation through Physical Interaction	May 19, 2020	Instance SegmentationOptical Flow Estimation	CodeCode Available
Reinforced Coloring for End-to-End Instance Segmentation	May 14, 2020	Deep Reinforcement LearningInstance Segmentation	—Unverified
Multi-Task Learning in Histo-pathology for Widely Generalizable Model	May 9, 2020	Cancer ClassificationClassification	—Unverified
Counting of Grapevine Berries in Images via Semantic Segmentation using Convolutional Neural Networks	Apr 29, 2020	Instance SegmentationSemantic Segmentation	—Unverified
A novel Region of Interest Extraction Layer for Instance Segmentation	Apr 28, 2020	Instance Segmentationobject-detection	CodeCode Available
All you need is a second look: Towards Tighter Arbitrary shape text detection	Apr 26, 2020	AllInstance Segmentation	—Unverified
MOPT: Multi-Object Panoptic Tracking	Apr 17, 2020	Instance SegmentationMulti-Object Tracking	—Unverified
Bidirectional Graph Reasoning Network for Panoptic Segmentation	Apr 14, 2020	Instance SegmentationPanoptic Segmentation	—Unverified
A2D2: Audi Autonomous Driving Dataset	Apr 14, 2020	Autonomous DrivingInstance Segmentation	—Unverified
CenterMask: single shot instance segmentation with point representation	Apr 9, 2020	Instance SegmentationObject	—Unverified
Convolutional Neural Networks based automated segmentation and labelling of the lumbar spine X-ray	Apr 4, 2020	Instance SegmentationSegmentation	—Unverified
Pixel Consensus Voting for Panoptic Segmentation	Apr 4, 2020	Instance SegmentationPanoptic Segmentation	—Unverified
FGN: Fully Guided Network for Few-Shot Instance Segmentation	Mar 31, 2020	Few-shot Instance SegmentationFew-Shot Learning	—Unverified
BANet: Bidirectional Aggregation Network with Occlusion Handling for Panoptic Segmentation	Mar 31, 2020	Instance SegmentationOcclusion Handling	CodeCode Available
EOLO: Embedded Object Segmentation only Look Once	Mar 31, 2020	Distance regressionGPU	CodeCode Available

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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