SOTAVerified

Segmentation

Papers

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Showing 9901–9925 of 13072 papers

TitleStatusHype
TRScore: A Novel GPT-based Readability Scorer for ASR Segmentation and Punctuation model evaluation and selection—0
TrueDeep: A systematic approach of crack detection with less data—0
Trust, but Verify: Robust Image Segmentation using Deep Learning—0
TRUSTED: The Paired 3D Transabdominal Ultrasound and CT Human Data for Kidney Segmentation and Registration Research—0
Trusting Semantic Segmentation Networks—0
Quantifying uncertainty in lung cancer segmentation with foundation models applied to mixed-domain datasets—0
Trustworthy Deep Learning for Medical Image Segmentation—0
SUPER-Net: Trustworthy Medical Image Segmentation with Uncertainty Propagation in Encoder-Decoder Networks—0
Trustworthy Multi-phase Liver Tumor Segmentation via Evidence-based Uncertainty—0
TS2C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection—0
TSAL: Few-shot Text Segmentation Based on Attribute Learning—0
TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo—0
TSDASeg: A Two-Stage Model with Direct Alignment for Interactive Point Cloud Segmentation—0
TSI-Net: A Timing Sequence Image Segmentation Network for Intracranial Artery Segmentation in Digital Subtraction Angiography—0
TSJNet: A Multi-modality Target and Semantic Awareness Joint-driven Image Fusion Network—0
TSUBF-Net: Trans-Spatial UNet-like Network with Bi-direction Fusion for Segmentation of Adenoid Hypertrophy in CT—0
TTT-KD: Test-Time Training for 3D Semantic Segmentation through Knowledge Distillation from Foundation Models—0
TubeFormer-DeepLab: Video Mask Transformer—0
Tubule segmentation of fluorescence microscopy images based on convolutional neural networks with inhomogeneity correction—0
Tumor-Centered Patching for Enhanced Medical Image Segmentation—0
Tumor Classification and Segmentation of MR Brain Images—0
Tumor Delineation For Brain Radiosurgery by a ConvNet and Non-Uniform Patch Generation—0
Tumor segmentation on whole slide images: training or prompting?—0
TuNet: End-to-end Hierarchical Brain Tumor Segmentation using Cascaded Networks—0
Tuning a SAM-Based Model with Multi-Cognitive Visual Adapter to Remote Sensing Instance 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