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 1226–1250 of 2262 papers

Title	Date	Tasks	Status
CML-MOTS: Collaborative Multi-task Learning for Multi-Object Tracking and Segmentation	Nov 2, 2023	Autonomous DrivingInstance Segmentation	—Unverified
Exploring Data Augmentations on Self-/Semi-/Fully- Supervised Pre-trained Models	Oct 28, 2023	Data AugmentationDiversity	—Unverified
Automating lichen monitoring in ecological studies using instance segmentation of time-lapse images	Oct 26, 2023	Instance SegmentationSemantic Segmentation	—Unverified
Gramian Attention Heads are Strong yet Efficient Vision Learners	Oct 25, 2023	Fine-Grained Image ClassificationInstance Segmentation	CodeCode Available
Prompt-Driven Building Footprint Extraction in Aerial Images with Offset-Building Model	Oct 25, 2023	Instance SegmentationRegion Proposal	—Unverified
MSFormer: A Skeleton-multiview Fusion Method For Tooth Instance Segmentation	Oct 23, 2023	Contrastive LearningInstance Segmentation	—Unverified
Deep Learning Techniques for Video Instance Segmentation: A Survey	Oct 19, 2023	Action RecognitionDeep Learning	—Unverified
Panoptic Out-of-Distribution Segmentation	Oct 18, 2023	Data AugmentationInstance Segmentation	—Unverified
Hierarchical Side-Tuning for Vision Transformers	Oct 9, 2023	image-classificationImage Classification	—Unverified
SimPLR: A Simple and Plain Transformer for Scaling-Efficient Object Detection and Segmentation	Oct 9, 2023	Instance Segmentationobject-detection	—Unverified
Enhancing Representations through Heterogeneous Self-Supervised Learning	Oct 8, 2023	image-classificationImage Classification	—Unverified
Structure-Preserving Instance Segmentation via Skeleton-Aware Distance Transform	Oct 8, 2023	Image SegmentationInstance Segmentation	—Unverified
Cross-Task Data Augmentation by Pseudo-label Generation for Region Based Coronary Artery Instance Segmentation	Oct 8, 2023	Coronary Artery SegmentationData Augmentation	—Unverified
ConvNeXtv2 Fusion with Mask R-CNN for Automatic Region Based Coronary Artery Stenosis Detection for Disease Diagnosis	Oct 7, 2023	Instance SegmentationSemantic Segmentation	CodeCode Available
CUPre: Cross-domain Unsupervised Pre-training for Few-Shot Cell Segmentation	Oct 6, 2023	Cell SegmentationContrastive Learning	—Unverified
Combining Datasets with Different Label Sets for Improved Nucleus Segmentation and Classification	Oct 5, 2023	Instance SegmentationSegmentation	—Unverified
LoCUS: Learning Multiscale 3D-consistent Features from Posed Images	Oct 2, 2023	Instance SegmentationRetrieval	—Unverified
Adapting Vision Foundation Models for Plant Phenotyping	Oct 1, 2023	DecoderInstance Segmentation	—Unverified
Self-supervised Learning of Contextualized Local Visual Embeddings	Oct 1, 2023	Instance SegmentationKeypoint Detection	CodeCode Available
Advances in Kidney Biopsy Lesion Assessment through Dense Instance Segmentation	Sep 29, 2023	Instance SegmentationLesion Classification	—Unverified
CtxMIM: Context-Enhanced Masked Image Modeling for Remote Sensing Image Understanding	Sep 28, 2023	Contrastive LearningInstance Segmentation	—Unverified
Radar Instance Transformer: Reliable Moving Instance Segmentation in Sparse Radar Point Clouds	Sep 28, 2023	Collision AvoidanceInstance Segmentation	—Unverified
Two-Step Active Learning for Instance Segmentation with Uncertainty and Diversity Sampling	Sep 28, 2023	Active LearningDiversity	—Unverified
Automatic Animation of Hair Blowing in Still Portrait Photos	Sep 25, 2023	Image AnimationInstance Segmentation	—Unverified
A SAM-based Solution for Hierarchical Panoptic Segmentation of Crops and Weeds Competition	Sep 24, 2023	Instance Segmentationobject-detection	—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	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