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 1001–1025 of 2262 papers

Title	Date	Tasks	Status	Hype
Could Giant Pretrained Image Models Extract Universal Representations?	Nov 3, 2022	Action RecognitionAction Recognition In Videos	—Unverified	0
Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal Networks	Nov 3, 2022	Action RecognitionInstance Segmentation	—Unverified	0
Deep Learning based Defect classification and detection in SEM images: A Mask R-CNN approach	Nov 3, 2022	Defect DetectionInstance Segmentation	—Unverified	0
CircleSnake: Instance Segmentation with Circle Representation	Nov 2, 2022	Instance Segmentationobject-detection	CodeCode Available	0
Two-Level Temporal Relation Model for Online Video Instance Segmentation	Oct 30, 2022	Graph Neural NetworkInstance Segmentation	CodeCode Available	0
Grafting Vision Transformers	Oct 28, 2022	Image ClassificationInstance Segmentation	—Unverified	0
Layout Aware Inpainting for Automated Furniture Removal in Indoor Scenes	Oct 27, 2022	Instance SegmentationSemantic Segmentation	—Unverified	0
Instance Segmentation for Chinese Character Stroke Extraction, Datasets and Benchmarks	Oct 25, 2022	Font GenerationInstance Segmentation	CodeCode Available	1
BARS: A Benchmark for Airport Runway Segmentation	Oct 24, 2022	Instance SegmentationSegmentation	CodeCode Available	1
Self-Supervised Learning with Masked Image Modeling for Teeth Numbering, Detection of Dental Restorations, and Instance Segmentation in Dental Panoramic Radiographs	Oct 20, 2022	Instance SegmentationSelf-Supervised Learning	CodeCode Available	1
MGTUNet: An new UNet for colon nuclei instance segmentation and quantification	Oct 20, 2022	Instance Segmentationregression	—Unverified	0
Cell tracking for live-cell microscopy using an activity-prioritized assignment strategy	Oct 20, 2022	Cell TrackingInstance Segmentation	CodeCode Available	0
Large-batch Optimization for Dense Visual Predictions	Oct 20, 2022	Instance Segmentationobject-detection	CodeCode Available	1
Self-Supervised Learning via Maximum Entropy Coding	Oct 20, 2022	Instance Segmentationobject-detection	CodeCode Available	1
TOIST: Task Oriented Instance Segmentation Transformer with Noun-Pronoun Distillation	Oct 19, 2022	Instance SegmentationReferring Expression	CodeCode Available	1
Comparative analysis of deep learning approaches for AgNOR-stained cytology samples interpretation	Oct 19, 2022	Instance SegmentationSegmentation	—Unverified	0
Scrape, Cut, Paste and Learn: Automated Dataset Generation Applied to Parcel Logistics	Oct 18, 2022	3D Object Detection3D Reconstruction	CodeCode Available	1
A Tri-Layer Plugin to Improve Occluded Detection	Oct 18, 2022	Instance SegmentationObject	CodeCode Available	1
TIVE: A Toolbox for Identifying Video Instance Segmentation Errors	Oct 17, 2022	Instance SegmentationSegmentation	CodeCode Available	1
Deformably-Scaled Transposed Convolution	Oct 17, 2022	Image EnhancementInstance Segmentation	—Unverified	0
Instance Segmentation with Cross-Modal Consistency	Oct 14, 2022	Autonomous DrivingContrastive Learning	—Unverified	0
Hierarchical Approach for Joint Semantic, Plant Instance, and Leaf Instance Segmentation in the Agricultural Domain	Oct 14, 2022	Instance SegmentationPlant Phenotyping	CodeCode Available	1
H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection	Oct 13, 2022	AllAutonomous Driving	CodeCode Available	1
AISFormer: Amodal Instance Segmentation with Transformer	Oct 12, 2022	Amodal Instance SegmentationDecoder	CodeCode Available	1
Latency-aware Spatial-wise Dynamic Networks	Oct 12, 2022	GPUimage-classification	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