SOTAVerified

Segmentation

Papers

Showing 23762400 of 13072 papers

TitleStatusHype
CFPNet: Channel-wise Feature Pyramid for Real-Time Semantic SegmentationCode1
Commonality-Parsing Network across Shape and Appearance for Partially Supervised Instance SegmentationCode1
Deep Learning-Based Concurrent Brain Registration and Tumor SegmentationCode1
Code-free development and deployment of deep segmentation models for digital pathologyCode1
Comprehensive segmentation of deep grey nuclei from structural MRI dataCode1
MCPA: Multi-scale Cross Perceptron Attention Network for 2D Medical Image SegmentationCode1
CGA-Net: Category Guided Aggregation for Point Cloud Semantic SegmentationCode1
A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRICode1
Deep Learning for Musical Form: Recognition and AnalysisCode1
ConTEXTual Net: A Multimodal Vision-Language Model for Segmentation of PneumothoraxCode1
Coarse-to-Fine Covid-19 Segmentation via Vision-Language AlignmentCode1
Learning Part Segmentation through Unsupervised Domain Adaptation from Synthetic VehiclesCode1
Challenging Current Semi-Supervised Anomaly Segmentation Methods for Brain MRICode1
Deep learning in magnetic resonance prostate segmentation: A review and a new perspectiveCode1
Change-Aware Siamese Network for Surface Defects Segmentation under Complex BackgroundCode1
Learning Local and Global Temporal Contexts for Video Semantic SegmentationCode1
ChangeSim: Towards End-to-End Online Scene Change Detection in Industrial Indoor EnvironmentsCode1
Applications of Deep Learning in Fundus Images: A ReviewCode1
AdaMSS: Adaptive Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction from PET/CT ImagesCode1
Applying Eigencontours to PolarMask-Based Instance SegmentationCode1
Channel prior convolutional attention for medical image segmentationCode1
Coarse to Fine Multi-Resolution Temporal Convolutional NetworkCode1
Applying Surface Normal Information in Drivable Area and Road Anomaly Detection for Ground Mobile RobotsCode1
CoactSeg: Learning from Heterogeneous Data for New Multiple Sclerosis Lesion SegmentationCode1
Coarse-to-Fine Amodal Segmentation with Shape PriorCode1
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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