SOTAVerified

Segmentation

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3076–3100 of 13072 papers

TitleStatusHype
Mask Mining for Improved Liver Lesion Segmentation—0
Boosting Few-shot Semantic Segmentation with Transformers—0
An End to End Deep Neural Network for Iris Segmentation in Unconstraint Scenarios—0
Boosting Few-Shot Semantic Segmentation Via Segment Anything Model—0
Boosting Few-Shot Segmentation via Instance-Aware Data Augmentation and Local Consensus Guided Cross Attention—0
An End-to-End Approach for Recognition of Modern and Historical Handwritten Numeral Strings—0
Adaptive strategy for superpixel-based region-growing image segmentation—0
Boosting Cross-spectral Unsupervised Domain Adaptation for Thermal Semantic Segmentation—0
An End-to-end 3D Convolutional Neural Network for Action Detection and Segmentation in Videos—0
Boosting COVID-19 Severity Detection with Infection-aware Contrastive Mixup Classification—0
Boosting Connectivity in Retinal Vessel Segmentation via a Recursive Semantics-Guided Network—0
Adaptive Smooth Activation for Improved Disease Diagnosis and Organ Segmentation from Radiology Scans—0
4D Deep Learning for Multiple-Sclerosis Lesion Activity Segmentation—0
3D Automatic Segmentation Method for Retinal Optical Coherence Tomography Volume Data Using Boundary Surface Enhancement—0
DispSegNet: Leveraging Semantics for End-to-End Learning of Disparity Estimation from Stereo Imagery—0
Boosting Box-supervised Instance Segmentation with Pseudo Depth—0
Boosting 3D Neuron Segmentation with 2D Vision Transformer Pre-trained on Natural Images—0
An Empirical Study on the Robustness of the Segment Anything Model (SAM)—0
Boosted Training of Convolutional Neural Networks for Multi-Class Segmentation—0
Boosted GAN with Semantically Interpretable Information for Image Inpainting—0
An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation—0
4D Deep Learning for Multiple Sclerosis Lesion Activity Segmentation—0
Bone Segmentation in Contrast Enhanced Whole-Body Computed Tomography—0
An Empirical Study on Multi-Domain Robust Semantic Segmentation—0
Bone marrow cells detection: A technique for the microscopic image analysis—0
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All datasetsSA-1B.MFSDMMFloodSimGas

Benchmark Results

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