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Segmentation

Papers

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Showing 7351–7375 of 13072 papers

TitleStatusHype
Few-Shot Adaptation of Training-Free Foundation Model for 3D Medical Image Segmentation—0
Med-Tuning: A New Parameter-Efficient Tuning Framework for Medical Volumetric Segmentation—0
Approaching Neural Chinese Word Segmentation as a Low-Resource Machine Translation Task—0
MedVisionLlama: Leveraging Pre-Trained Large Language Model Layers to Enhance Medical Image Segmentation—0
Few-shot adaptation for morphology-independent cell instance segmentation—0
Few-Shot 3D Volumetric Segmentation with Multi-Surrogate Fusion—0
MEGA: Multimodal Alignment Aggregation and Distillation For Cinematic Video Segmentation—0
A Bottom Up Procedure for Text Line Segmentation of Latin Script—0
Few-Shot 3D Point Cloud Semantic Segmentation via Stratified Class-Specific Attention Based Transformer Network—0
Few-shot 3D LiDAR Semantic Segmentation for Autonomous Driving—0
Chan-Vese Reformulation for Selective Image Segmentation—0
Memory-Augmented SAM2 for Training-Free Surgical Video Segmentation—0
Diff4MMLiTS: Advanced Multimodal Liver Tumor Segmentation via Diffusion-Based Image Synthesis and Alignment—0
Multi-Action Recognition via Stochastic Modelling of Optical Flow and Gradients—0
Multi-Atlas Segmentation with Joint Label Fusion of Osteoporotic Vertebral Compression Fractures on CT—0
Memory-Constrained Semantic Segmentation for Ultra-High Resolution UAV Imagery—0
Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results—0
Memory-Efficient Continual Learning Object Segmentation for Long Video—0
Memory-Efficient Deep Salient Object Segmentation Networks on Gridized Superpixels—0
Differentiable Programming for Piecewise Polynomial Functions—0
Memory-guided Network with Uncertainty-based Feature Augmentation for Few-shot Semantic Segmentation—0
Memory Matters: Convolutional Recurrent Neural Network for Scene Text Recognition—0
MemorySeg: Online LiDAR Semantic Segmentation with a Latent Memory—0
Memory transformers for full context and high-resolution 3D Medical Segmentation—0
Multi-class probabilistic atlas-based whole heart segmentation method in cardiac CT and MRI—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