SOTAVerified

Segmentation

Papers

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Showing 2551–2575 of 13072 papers

TitleStatusHype
Self and Mixed Supervision to Improve Training Labels for Multi-Class Medical Image Segmentation—0
Causal Prototype-inspired Contrast Adaptation for Unsupervised Domain Adaptive Semantic Segmentation of High-resolution Remote Sensing Imagery—0
AnatoMix: Anatomy-aware Data Augmentation for Multi-organ Segmentation—0
DINOv2 based Self Supervised Learning For Few Shot Medical Image SegmentationCode1
Learning Zero-Shot Material States Segmentation, by Implanting Natural Image Patterns in Synthetic DataCode0
Enhancing Weakly Supervised 3D Medical Image Segmentation through Probabilistic-aware LearningCode1
Motion-Corrected Moving Average: Including Post-Hoc Temporal Information for Improved Video Segmentation—0
CrackNex: a Few-shot Low-light Crack Segmentation Model Based on Retinex Theory for UAV InspectionsCode1
Coronary artery segmentation in non-contrast calcium scoring CT images using deep learning—0
Modality-Aware and Shift Mixer for Multi-modal Brain Tumor Segmentation—0
Explicit Motion Handling and Interactive Prompting for Video Camouflaged Object Detection—0
Anatomically Constrained Tractography of the Fetal Brain—0
Bayesian Uncertainty Estimation by Hamiltonian Monte Carlo: Applications to Cardiac MRI Segmentation—0
RISeg: Robot Interactive Object Segmentation via Body Frame-Invariant Features—0
Semi-Supervised Semantic Segmentation Based on Pseudo-Labels: A Survey—0
Region-Transformer: Self-Attention Region Based Class-Agnostic Point Cloud Segmentation—0
A Unified Model Selection Technique for Spectral Clustering Based Motion Segmentation—0
EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic SegmentationCode2
Enhancing Retinal Vascular Structure Segmentation in Images With a Novel Design Two-Path Interactive Fusion Module ModelCode0
Boosting Box-supervised Instance Segmentation with Pseudo Depth—0
Benchmarking Segmentation Models with Mask-Preserved Attribute EditingCode1
Auxiliary Tasks Enhanced Dual-affinity Learning for Weakly Supervised Semantic Segmentation—0
Robust deep labeling of radiological emphysema subtypes using squeeze and excitation convolutional neural networks: The MESA Lung and SPIROMICS Studies—0
YOLO-MED : Multi-Task Interaction Network for Biomedical Images—0
Rethinking Few-shot 3D Point Cloud Semantic SegmentationCode2
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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