SOTAVerified

Segmentation

Papers

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Showing 6701–6725 of 13072 papers

TitleStatusHype
Learning Object Interactions and Descriptions for Semantic Image Segmentation—0
Learning Object Placement by Inpainting for Compositional Data Augmentation—0
Deep learning and its application to medical image segmentation—0
Learning of Inter-Label Geometric Relationships Using Self-Supervised Learning: Application To Gleason Grade Segmentation—0
Learning Ordinality in Semantic Segmentation—0
Fourier Disentangled Multimodal Prior Knowledge Fusion for Red Nucleus Segmentation in Brain MRI—0
Client/Server Based Online Environment for Manual Segmentation of Medical Images—0
Learning Part Segmentation from Synthetic Animals—0
Fourier Boundary Features Network with Wider Catchers for Glass Segmentation—0
MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization—0
Learning Pixel Representations for Generic Segmentation—0
Learning Pixel-wise Labeling from the Internet without Human Interaction—0
Learning Point Embeddings from Shape Repositories for Few-Shot Segmentation—0
Learning Population-level Shape Statistics and Anatomy Segmentation From Images: A Joint Deep Learning Model—0
Learning pose variations within shape population by constrained mixtures of factor analyzers—0
Learning Position and Target Consistency for Memory-based Video Object Segmentation—0
Learning Propagation for Arbitrarily-structured Data—0
Adversarially Trained Convolutional Neural Networks for Semantic Segmentation of Ischaemic Stroke Lesion using Multisequence Magnetic Resonance Imaging—0
Learning random-walk label propagation for weakly-supervised semantic segmentation—0
Learning Referring Video Object Segmentation from Weak Annotation—0
Deep Learning Based Analysis of Prostate Cancer from MP-MRI—0
Foundation Model for Whole-Heart Segmentation: Leveraging Student-Teacher Learning in Multi-Modal Medical Imaging—0
Learning Rich Representations For Structured Visual Prediction Tasks—0
A Causal Intervention Scheme for Semantic Segmentation of Quasi-periodic Cardiovascular Signals—0
Foundation Model Drives Weakly Incremental Learning for Semantic 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