SOTAVerified

Segmentation

Papers

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Showing 3476–3500 of 13072 papers

TitleStatusHype
Deep Self-Cleansing for Medical Image Segmentation with Noisy Labels—0
Automatic Traffic Sign Detection and Recognition Using SegU-Net and a Modified Tversky Loss Function With L1-Constraint—0
Efficiently Computing Piecewise Flat Embeddings for Data Clustering and Image Segmentation—0
DeepSDCS: Dissecting cancer proliferation heterogeneity in Ki67 digital whole slide images—0
Automatic Tissue Segmentation with Deep Learning in Patients with Congenital or Acquired Distortion of Brain Anatomy—0
Efficiently Troubleshooting Image Segmentation Models with Human-In-The-Loop—0
Efficient liver segmentation with 3D CNN using computed tomography scans—0
Automatic text extraction and character segmentation using maximally stable extremal regions—0
Deep Residual 3D U-Net for Joint Segmentation and Texture Classification of Nodules in Lung—0
2D-Densely Connected Convolution Neural Networks for automatic Liver and Tumor Segmentation—0
EfficientLPS: Efficient LiDAR Panoptic Segmentation—0
Automatic Syllabification for Manipuri language—0
Deep Recurrent Level Set for Segmenting Brain Tumors—0
DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via A Structure-Specific Generative Method—0
Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation—0
Ultrasound segmentation using U-Net: learning from simulated data and testing on real data—0
Efficient Knowledge Distillation of SAM for Medical Image Segmentation—0
Deep Retinal Image Segmentation with Regularization Under Geometric Priors—0
Automatic Text Line Segmentation Directly in JPEG Compressed Document Images—0
Efficient Lung Cancer Image Classification and Segmentation Algorithm Based on Improved Swin Transformer—0
Efficient Medical Image Segmentation with Intermediate Supervision Mechanism—0
A Multimodal Framework for Video Ads Understanding—0
Active Mean Fields for Probabilistic Image Segmentation: Connections with Chan-Vese and Rudin-Osher-Fatemi Models—0
Deep Quality Estimation: Creating Surrogate Models for Human Quality Ratings—0
Deep Q Learning Driven CT Pancreas Segmentation with Geometry-Aware U-Net—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