SOTAVerified

Segmentation

Papers

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Showing 8226–8250 of 13072 papers

TitleStatusHype
Weakly supervised semantic segmentation of tomographic images in the diagnosis of stroke—0
Weakly Supervised Few-Shot Segmentation Via Meta-Learning—0
Hierarchical 3D Feature Learning for Pancreas SegmentationCode0
Semantic Segmentation on VSPW Dataset through Aggregation of Transformer Models—0
Style Transfer based Coronary Artery Segmentation in X-ray Angiogram—0
Access Control Using Spatially Invariant Permutation of Feature Maps for Semantic Segmentation Models—0
Benchmarking the Robustness of Instance Segmentation Models—0
How Suitable Are Subword Segmentation Strategies for Translating Non-Concatenative Morphology?Code0
Effect of the output activation function on the probabilities and errors in medical image segmentationCode0
An End-to-End learnable Flow Regularized Model for Brain Tumor Segmentation—0
Multilingual Image Corpus: Annotation Protocol—0
ImageTBAD: A 3D Computed Tomography Angiography Image Dataset for Automatic Segmentation of Type-B Aortic Dissection—0
Frustration Level Annotation in Latvian Tweets with Non-Lexical Means of Expression—0
Character-based Thai Word Segmentation with Multiple AttentionsCode0
Sk-Unet Model with Fourier Domain for Mitosis Detection—0
SMAC-Seg: LiDAR Panoptic Segmentation via Sparse Multi-directional Attention Clustering—0
Simultaneous Nuclear Instance and Layer Segmentation in Oral Epithelial Dysplasia—0
SemIE: Semantically-aware Image Extrapolation—0
Deep Learning with Uncertainty Quantification for Predicting the Segmentation Dice Coefficient of Prostate Cancer Biopsy Images—0
Automatic Preprocessing and Ensemble Learning for Low Quality Cell Image Segmentation—0
Robust Interactive Semantic Segmentation of Pathology Images with Minimal User Input—0
Unsupervised Learning of Deep Features for Music Segmentation—0
A Multimodal Framework for Video Ads Understanding—0
SIGN: Spatial-information Incorporated Generative Network for Generalized Zero-shot Semantic Segmentation—0
Automated Kidney Segmentation by Mask R-CNN in T2-weighted Magnetic Resonance Imaging—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