SOTAVerified

Segmentation

Papers

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Showing 7376–7400 of 13072 papers

TitleStatusHype
Chan-Vese Reformulation for Selective Image Segmentation—0
MeNToS: Tracklets Association with a Space-Time Memory Network—0
Differentiable Topology-Preserved Distance Transform for Pulmonary Airway Segmentation—0
Merging Tasks for Video Panoptic Segmentation—0
MESAHA-Net: Multi-Encoders based Self-Adaptive Hard Attention Network with Maximum Intensity Projections for Lung Nodule Segmentation in CT Scan—0
Multiclass MRI Brain Tumor Segmentation using 3D Attention-based U-Net—0
A Task-driven Network for Mesh Classification and Semantic Part Segmentation—0
Multi-class probabilistic atlas-based whole heart segmentation method in cardiac CT and MRI—0
MultiCo3D: Multi-Label Voxel Contrast for One-Shot Incremental Segmentation of 3D Neuroimages—0
Few Labeled Atlases are Necessary for Deep-Learning-Based Segmentation—0
MetaBEV: Solving Sensor Failures for 3D Detection and Map Segmentation—0
Few Exemplar-Based General Medical Image Segmentation via Domain-Aware Selective Adaptation—0
MetaBox+: A new Region Based Active Learning Method for Semantic Segmentation using Priority Maps—0
Metacarpal Bones Localization in X-ray Imagery Using Particle Filter Segmentation—0
Meta Compositional Referring Expression Segmentation—0
FE-UNet: Frequency Domain Enhanced U-Net with Segment Anything Capability for Versatile Image Segmentation—0
Chan-Vese Attention U-Net: An attention mechanism for robust segmentation—0
Meta-Decomposition: Dynamic Segmentation Approach Selection in IoT-based Activity Recognition—0
Meta-DRN: Meta-Learning for 1-Shot Image Segmentation—0
Multi-Class Classification of Blood Cells -- End to End Computer Vision based diagnosis case study—0
Fetal Ultrasound Image Segmentation for Measuring Biometric Parameters Using Multi-Task Deep Learning—0
Fetal Brain Tissue Annotation and Segmentation Challenge Results—0
Meta-information-aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT—0
Channel Boosted CNN-Transformer-based Multi-Level and Multi-Scale Nuclei Segmentation—0
A Bottom-Up Approach to Class-Agnostic 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