SOTAVerified

Segmentation

Papers

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Showing 3251–3275 of 13072 papers

TitleStatusHype
BEVMOSNet: Multimodal Fusion for BEV Moving Object Segmentation—0
Anatomy Prior Based U-net for Pathology Segmentation with Attention—0
BEV-MODNet: Monocular Camera based Bird's Eye View Moving Object Detection for Autonomous Driving—0
BEVControl: Accurately Controlling Street-view Elements with Multi-perspective Consistency via BEV Sketch Layout—0
Adaptive Feature Fusion Neural Network for Glaucoma Segmentation on Unseen Fundus Images—0
DSU-Net: Dynamic Snake U-Net for 2-D Seismic First Break Picking—0
Anatomy-Aware Measurement of Segmentation Accuracy—0
Better Image Segmentation by Exploiting Dense Semantic Predictions—0
3D-U-SAM Network For Few-shot Tooth Segmentation in CBCT Images—0
Better Generalization of White Matter Tract Segmentation to Arbitrary Datasets with Scaled Residual Bootstrap—0
Betrayed by Motion: Camouflaged Object Discovery via Motion Segmentation—0
DSNet: a simple yet efficient network with dual-stream attention for lesion segmentation—0
BERT Meets Chinese Word Segmentation—0
AnatoMix: Anatomy-aware Data Augmentation for Multi-organ Segmentation—0
BERT 4EVER@EvaHan 2022: Ancient Chinese Word Segmentation and Part-of-Speech Tagging Based on Adversarial Learning and Continual Pre-training—0
Anatomical Structure Segmentation in Liver MRI Images—0
Adaptive Binarization for Weakly Supervised Affordance Segmentation—0
Benefits of mirror weight symmetry for 3D mesh segmentation in biomedical applications—0
Anatomically-Informed Multiple Linear Assignment Problems for White Matter Bundle Segmentation—0
Benefits of Linear Conditioning with Metadata for Image Segmentation—0
Benefiting from Quantum? A Comparative Study of Q-Seg, Quantum-Inspired Techniques, and U-Net for Crack Segmentation—0
Adaptive Aggregation Weights for Federated Segmentation of Pancreas MRI—0
DSNet for Real-Time Driving Scene Semantic Segmentation—0
DS-ViT: Dual-Stream Vision Transformer for Cross-Task Distillation in Alzheimer's Early Diagnosis—0
Bend-Net: Bending Loss Regularized Multitask Learning Network for Nuclei Segmentation in Histopathology Images—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