SOTAVerified

Segmentation

Papers

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Showing 7126–7150 of 13072 papers

TitleStatusHype
Denoising and Segmentation of Epigraphical Scripts—0
First arrival picking using U-net with Lovasz loss and nearest point picking method—0
M^2BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation—0
Fire Threat Detection From Videos with Q-Rough Sets—0
Firearm Detection via Convolutional Neural Networks: Comparing a Semantic Segmentation Model Against End-to-End Solutions—0
Class Activation Map-based Weakly supervised Hemorrhage Segmentation using Resnet-LSTM in Non-Contrast Computed Tomography images—0
Arabic Handwritten Text Line Dataset—0
Finite State Machines for Semantic Scene Parsing and Segmentation—0
Arabic Character Segmentation Using Projection Based Approach with Profile's Amplitude Filter—0
Adversarial Domain Adaptation for Cell Segmentation—0
Machine-agnostic Automated Lumbar MRI Segmentation using a Cascaded Model Based on Generative Neurons—0
MLMT-CNN for Object Detection and Segmentation in Multi-layer and Multi-spectral Images—0
Machine-learned Regularization and Polygonization of Building Segmentation Masks—0
Fine tuning U-Net for ultrasound image segmentation: which layers?—0
Machine Learning Evaluation Metric Discrepancies across Programming Languages and Their Components: Need for Standardization—0
Fine-tuning vision foundation model for crack segmentation in civil infrastructures—0
Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications—0
A Cascaded Deep-Learning Framework for Segmentation of Metastatic Brain Tumors Before and After Stereotactic Radiation Therapy—0
Fine-Grained Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation—0
CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer with Modality-Correlated Cross-Attention for Brain Tumor Segmentation—0
Mixup-Privacy: A simple yet effective approach for privacy-preserving segmentation—0
MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization—0
MaIL: A Unified Mask-Image-Language Trimodal Network for Referring Image Segmentation—0
MAIN: Multi-Attention Instance Network for Video Segmentation—0
MKIS-Net: A Light-Weight Multi-Kernel Network for Medical Image Segmentation—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