SOTAVerified

Segmentation

Papers

Showing 44014425 of 13072 papers

TitleStatusHype
A Comprehensive Corpus Callosum Segmentation Tool for Detecting Callosal Abnormalities and Genetic Associations from Multi Contrast MRIs0
CLIP-S^4: Language-Guided Self-Supervised Semantic Segmentation0
Probabilistic 3D segmentation for aleatoric uncertainty quantification in full 3D medical dataCode1
Rethinking Boundary Detection in Deep Learning Models for Medical Image SegmentationCode1
Point Cloud Semantic Segmentation0
PRSeg: A Lightweight Patch Rotate MLP Decoder for Semantic Segmentation0
Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object DetectionCode1
Segment Anything Model (SAM) Meets Glass: Mirror and Transparent Objects Cannot Be Easily Detected0
A Critical Analysis of the Limitation of Deep Learning based 3D Dental Mesh Segmentation Methods in Segmenting Partial ScansCode0
Brain Tumor Segmentation from MRI Images using Deep Learning Techniques0
Polyp-SAM: Transfer SAM for Polyp SegmentationCode1
Raidionics: an open software for pre- and postoperative central nervous system tumor segmentation and standardized reportingCode1
Incomplete hippocampal inversion and hippocampal subfield volumes: Implementation and inter-reliability of automatic segmentation0
Event-Free Moving Object Segmentation from Moving Ego VehicleCode1
An automated end-to-end deep learning-based framework for lung cancer diagnosis by detecting and classifying the lung nodules0
SCOPE: Structural Continuity Preservation for Medical Image Segmentation0
SceneGenie: Scene Graph Guided Diffusion Models for Image Synthesis0
Unsupervised Discovery of 3D Hierarchical Structure with Generative Diffusion FeaturesCode0
Zero-shot performance of the Segment Anything Model (SAM) in 2D medical imaging: A comprehensive evaluation and practical guidelinesCode0
Segment Anything Model for Medical Images?Code1
3D Brainformer: 3D Fusion Transformer for Brain Tumor Segmentation0
Quality-Adaptive Split-Federated Learning for Segmenting Medical Images with Inaccurate Annotations0
Dual-feature Fusion Attention Network for Small Object Segmentation0
EDAPS: Enhanced Domain-Adaptive Panoptic SegmentationCode1
Adaptive-Mask Fusion Network for Segmentation of Drivable Road and Negative Obstacle With Untrustworthy FeaturesCode1
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Benchmark Results

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