SOTAVerified

Segmentation

Papers

Showing 37013725 of 13072 papers

TitleStatusHype
Curriculum semi-supervised segmentationCode0
Learn to Segment Retinal Lesions and BeyondCode0
LEDNet: A Lightweight Encoder-Decoder Network for Real-Time Semantic SegmentationCode0
Lifting-based variational multiclass segmentation algorithm: design, convergence analysis, and implementation with applications in medical imagingCode0
LEFM-Nets: Learnable Explicit Feature Map Deep Networks for Segmentation of Histopathological Images of Frozen SectionsCode0
Curriculum Domain Adaptation for Semantic Segmentation of Urban ScenesCode0
Curriculum-Based Augmented Fourier Domain Adaptation for Robust Medical Image SegmentationCode0
Learning with minimal effort: leveraging in silico labeling for cell and nucleus segmentationCode0
Learning Zero-Shot Material States Segmentation, by Implanting Natural Image Patterns in Synthetic DataCode0
Left Ventricle Contouring in Cardiac Images Based on Deep Reinforcement LearningCode0
Learning Where to Look While Tracking Instruments in Robot-assisted SurgeryCode0
Automated GI tract segmentation using deep learningCode0
Learning With Context Feedback Loop for Robust Medical Image SegmentationCode0
CT-xCOV: a CT-scan based Explainable Framework for COVid-19 diagnosisCode0
Learning Video-independent Eye Contact Segmentation from In-the-Wild VideosCode0
CTS: A Consistency-Based Medical Image Segmentation ModelCode0
ROIsGAN: A Region Guided Generative Adversarial Framework for Murine Hippocampal Subregion SegmentationCode0
Learning Video Object Segmentation from Static ImagesCode0
Exploring Weakly Supervised Semantic Segmentation Ensembles for Medical Imaging SystemsCode0
Learning to Segment Object CandidatesCode0
Automated Detection of Myopic Maculopathy in MMAC 2023: Achievements in Classification, Segmentation, and Spherical Equivalent PredictionCode0
Learning to Segment via Cut-and-PasteCode0
Learning unbiased zero-shot semantic segmentation networks via transductive transferCode0
Automated Detection of Label Errors in Semantic Segmentation Datasets via Deep Learning and Uncertainty QuantificationCode0
Learning to "Segment Anything" in Thermal Infrared Images through Knowledge Distillation with a Large Scale Dataset SATIRCode0
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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