SOTAVerified

Segmentation

Papers

Showing 44764500 of 13072 papers

TitleStatusHype
Detection and Classification of Glioblastoma Brain Tumor0
Structure Preserving Cycle-GAN for Unsupervised Medical Image Domain Adaptation0
Computer-Vision Benchmark Segment-Anything Model (SAM) in Medical Images: Accuracy in 12 Datasets0
PointDC:Unsupervised Semantic Segmentation of 3D Point Clouds via Cross-modal Distillation and Super-Voxel ClusteringCode1
Federated Alternate Training (FAT): Leveraging Unannotated Data Silos in Federated Segmentation for Medical Imaging0
SAM Fails to Segment Anything? -- SAM-Adapter: Adapting SAM in Underperformed Scenes: Camouflage, Shadow, Medical Image Segmentation, and MoreCode3
Fibroglandular Tissue Segmentation in Breast MRI using Vision Transformers -- A multi-institutional evaluationCode1
ProPanDL: A Modular Architecture for Uncertainty-Aware Panoptic Segmentation0
When SAM Meets Medical Images: An Investigation of Segment Anything Model (SAM) on Multi-phase Liver Tumor Segmentation0
Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual GroupingCode1
DETR-based Layered Clothing Segmentation and Fine-Grained Attribute Recognition0
Delving into Shape-aware Zero-shot Semantic SegmentationCode1
Towards Tumour Graph Learning for Survival Prediction in Head & Neck Cancer Patients0
Collaborative Feature Learning for Fine-grained Facial Forgery Detection and Segmentation0
One-shot and Partially-Supervised Cell Image Segmentation Using Small Visual PromptCode0
Two-stage MR Image Segmentation Method for Brain Tumors based on Attention Mechanism0
Learning to "Segment Anything" in Thermal Infrared Images through Knowledge Distillation with a Large Scale Dataset SATIRCode0
GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinatesCode0
JoB-VS: Joint Brain-Vessel Segmentation in TOF-MRA ImagesCode0
The Segment Anything foundation model achieves favorable brain tumor autosegmentation accuracy on MRI to support radiotherapy treatment planning0
ALiSNet: Accurate and Lightweight Human Segmentation Network for Fashion E-Commerce0
Region-Enhanced Feature Learning for Scene Semantic Segmentation0
Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical Image SegmentationCode1
Can SAM Segment Polyps?Code1
An Instance Segmentation Dataset of Yeast Cells in MicrostructuresCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1unSAM+ (Semi-supervised)Average Precision42.8Unverified
2SAMAverage Precision38.9Unverified
#ModelMetricClaimedVerifiedStatus
1HNN10%20Unverified
#ModelMetricClaimedVerifiedStatus
1ABANetF1 Score96.82Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50 + DeepLabV3+F1 score0.77Unverified
#ModelMetricClaimedVerifiedStatus
1LangGasIoU0.69Unverified