SOTAVerified

Segmentation

Papers

Showing 23762400 of 13072 papers

TitleStatusHype
Classification Calibration for Long-tail Instance SegmentationCode1
CFPNet-M: A Light-Weight Encoder-Decoder Based Network for Multimodal Biomedical Image Real-Time SegmentationCode1
Frequency-based Matcher for Long-tailed Semantic SegmentationCode1
Deep Learning Based Brain Tumor Segmentation: A SurveyCode1
CiT-Net: Convolutional Neural Networks Hand in Hand with Vision Transformers for Medical Image SegmentationCode1
Class-Agnostic Segmentation Loss and Its Application to Salient Object Detection and SegmentationCode1
CGA-Net: Category Guided Aggregation for Point Cloud Semantic SegmentationCode1
Deep Learning-Based Concurrent Brain Registration and Tumor SegmentationCode1
CoactSeg: Learning from Heterogeneous Data for New Multiple Sclerosis Lesion SegmentationCode1
Full-Glow: Fully conditional Glow for more realistic image generationCode1
Full-Resolution Network and Dual-Threshold Iteration for Retinal Vessel and Coronary Angiograph SegmentationCode1
Learning Part Segmentation through Unsupervised Domain Adaptation from Synthetic VehiclesCode1
Challenging Current Semi-Supervised Anomaly Segmentation Methods for Brain MRICode1
Deep Metric Learning for Open World Semantic SegmentationCode1
Change-Aware Siamese Network for Surface Defects Segmentation under Complex BackgroundCode1
Advancing UWF-SLO Vessel Segmentation with Source-Free Active Domain Adaptation and a Novel Multi-Center DatasetCode1
ChangeSim: Towards End-to-End Online Scene Change Detection in Industrial Indoor EnvironmentsCode1
Applications of Deep Learning in Fundus Images: A ReviewCode1
FU-net: Multi-class Image Segmentation Using Feedback Weighted U-netCode1
Applying Eigencontours to PolarMask-Based Instance SegmentationCode1
Channel prior convolutional attention for medical image segmentationCode1
Deformable Mamba for Wide Field of View SegmentationCode1
Applying Surface Normal Information in Drivable Area and Road Anomaly Detection for Ground Mobile RobotsCode1
Detecting Anomalies in Semantic Segmentation with PrototypesCode1
DeepCut: Unsupervised Segmentation using Graph Neural Networks ClusteringCode1
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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