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 351–375 of 2262 papers

Title	Date	Tasks	Status	Hype
BoxSnake: Polygonal Instance Segmentation with Box Supervision	Mar 21, 2023	Box-supervised Instance SegmentationInstance Segmentation	CodeCode Available	1
3D Mitochondria Instance Segmentation with Spatio-Temporal Transformers	Mar 21, 2023	DecoderInstance Segmentation	CodeCode Available	1
Making Vision Transformers Efficient from A Token Sparsification View	Mar 15, 2023	Efficient ViTsimage-classification	CodeCode Available	1
DynaMask: Dynamic Mask Selection for Instance Segmentation	Mar 14, 2023	Instance SegmentationSegmentation	CodeCode Available	1
SIM: Semantic-aware Instance Mask Generation for Box-Supervised Instance Segmentation	Mar 14, 2023	Box-supervised Instance SegmentationInstance Segmentation	CodeCode Available	1
Three Guidelines You Should Know for Universally Slimmable Self-Supervised Learning	Mar 13, 2023	Instance Segmentationobject-detection	CodeCode Available	1
Amodal Intra-class Instance Segmentation: Synthetic Datasets and Benchmark	Mar 12, 2023	Amodal Instance SegmentationInstance Segmentation	CodeCode Available	1
SEMv2: Table Separation Line Detection Based on Instance Segmentation	Mar 8, 2023	Instance SegmentationLine Detection	CodeCode Available	1
ElC-OIS: Ellipsoidal Clustering for Open-World Instance Segmentation on LiDAR Data	Mar 8, 2023	Autonomous NavigationClustering	CodeCode Available	1
Traffic Scene Parsing through the TSP6K Dataset	Mar 6, 2023	Autonomous DrivingDecoder	CodeCode Available	1
ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution	Mar 1, 2023	3D Instance SegmentationInstance Segmentation	CodeCode Available	1
Kartezio: Evolutionary Design of Explainable Pipelines for Biomedical Image Analysis	Feb 28, 2023	DiversityImage Segmentation	CodeCode Available	1
Video-SwinUNet: Spatio-temporal Deep Learning Framework for VFSS Instance Segmentation	Feb 22, 2023	DecoderImage Segmentation	CodeCode Available	1
CEDNet: A Cascade Encoder-Decoder Network for Dense Prediction	Feb 13, 2023	DecoderInstance Segmentation	CodeCode Available	1
Cross-Layer Retrospective Retrieving via Layer Attention	Feb 8, 2023	image-classificationImage Classification	CodeCode Available	1
Self-Supervised Unseen Object Instance Segmentation via Long-Term Robot Interaction	Feb 7, 2023	Instance SegmentationMulti-Object Tracking	CodeCode Available	1
DilateFormer: Multi-Scale Dilated Transformer for Visual Recognition	Feb 3, 2023	Instance Segmentationobject-detection	CodeCode Available	1
ParticleSeg3D: A Scalable Out-of-the-Box Deep Learning Segmentation Solution for Individual Particle Characterization from Micro CT Images in Mineral Processing and Recycling	Jan 30, 2023	Computed Tomography (CT)Instance Segmentation	CodeCode Available	1
Long-tail Detection with Effective Class-Margins	Jan 23, 2023	Binary ClassificationInstance Segmentation	CodeCode Available	1
Recurrent Generic Contour-based Instance Segmentation with Progressive Learning	Jan 21, 2023	Instance SegmentationLane Detection	CodeCode Available	1
TarViS: A Unified Approach for Target-based Video Segmentation	Jan 6, 2023	Instance SegmentationPanoptic Segmentation	CodeCode Available	1
The CropAndWeed Dataset: A Multi-Modal Learning Approach for Efficient Crop and Weed Manipulation	Jan 6, 2023	BenchmarkingCrop Classification	CodeCode Available	1
All in Tokens: Unifying Output Space of Visual Tasks via Soft Token	Jan 5, 2023	AllDepth Estimation	CodeCode Available	1
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation	Jan 3, 2023	BenchmarkingFew-shot Instance Segmentation	CodeCode Available	1
Betrayed by Captions: Joint Caption Grounding and Generation for Open Vocabulary Instance Segmentation	Jan 2, 2023	Caption GenerationInstance Segmentation	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