SOTAVerified

Segmentation

Papers

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Showing 8726–8750 of 13072 papers

TitleStatusHype
Deep Gaussian Processes for Few-Shot Segmentation—0
A Facial Feature Discovery Framework for Race Classification Using Deep Learning—0
DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image SegmentationCode0
PlaneSegNet: Fast and Robust Plane Estimation Using a Single-stage Instance Segmentation CNN—0
Catalyzing Clinical Diagnostic Pipelines Through Volumetric Medical Image Segmentation Using Deep Neural Networks: Past, Present, & Future—0
Instance segmentation with the number of clusters incorporated in embedding learning—0
An Efficiently Coupled Shape and Appearance Prior for Active Contour Segmentation—0
Improving prostate whole gland segmentation in t2-weighted MRI with synthetically generated data—0
Contextual Information Enhanced Convolutional Neural Networks for Retinal Vessel Segmentation in Color Fundus Images—0
Tilted Cross Entropy (TCE): Promoting Fairness in Semantic Segmentation—0
Spirit Distillation: Precise Real-time Semantic Segmentation of Road Scenes with Insufficient Data—0
Weakly-supervised Audio-visual Sound Source Detection and Separation—0
Learning Fine-Grained Segmentation of 3D Shapes without Part Labels—0
MSCFNet: A Lightweight Network With Multi-Scale Context Fusion for Real-Time Semantic Segmentation—0
A Fine-Grained Dataset and its Efficient Semantic Segmentation for Unstructured Driving Scenarios—0
Coarse-to-Fine Domain Adaptive Semantic Segmentation with Photometric Alignment and Category-Center Regularization—0
Dilated SpineNet for Semantic Segmentation—0
Detecting micro fractures: A comprehensive comparison of conventional and machine-learning based segmentation methods—0
Multiview and Multiclass Image Segmentation using Deep Learning in Fetal Echocardiography—0
Weakly Supervised Instance Segmentation for Videos with Temporal Mask Consistency—0
Roughness Index and Roughness Distance for Benchmarking Medical SegmentationCode0
Spatially Dependent U-Nets: Highly Accurate Architectures for Medical Imaging Segmentation—0
Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic Segmentation—0
Cross-Dataset Collaborative Learning for Semantic Segmentation in Autonomous Driving—0
A Novel Upsampling and Context Convolution for Image Semantic 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