SOTAVerified

Segmentation

Papers

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Showing 9901–9950 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
Tuning-Free Amodal Segmentation via the Occlusion-Free Bias of Inpainting Models—0
Tuning-free Universally-Supervised Semantic Segmentation—0
Turb-Seg-Res: A Segment-then-Restore Pipeline for Dynamic Videos with Atmospheric Turbulence—0
Turning to a Teacher for Timestamp Supervised Temporal Action Segmentation—0
Turn Segmentation into Utterances for Arabic Spontaneous Dialogues and Instance Messages—0
Twin Deformable Point Convolutions for Point Cloud Semantic Segmentation in Remote Sensing Scenes—0
Two Approaches to Supervised Image Segmentation—0
Two-Dimensional Quantum Material Identification via Self-Attention and Soft-labeling in Deep Learning—0
Two layer Ensemble of Deep Learning Models for Medical Image Segmentation—0
Two-Phase Learning for Weakly Supervised Object Localization—0
Two-Phase Segmentation Approach for Accurate Left Ventricle Segmentation in Cardiac MRI using Machine Learning—0
Two-Stage Approach for Brain MR Image Synthesis: 2D Image Synthesis and 3D Refinement—0
Two-stage multi-scale breast mass segmentation for full mammogram analysis without user intervention—0
Two-Stage Hybrid Supervision Framework for Fast, Low-resource, and Accurate Organ and Pan-cancer Segmentation in Abdomen CT—0
Two-stage Joint Transductive and Inductive learning for Nuclei Segmentation—0
Two-stage MR Image Segmentation Method for Brain Tumors based on Attention Mechanism—0
Two-Stage Multi-task Self-Supervised Learning for Medical Image Segmentation—0
Two Stage Segmentation of Cervical Tumors using PocketNet—0
Two stages for visual object tracking—0
Two-Step Active Learning for Instance Segmentation with Uncertainty and Diversity Sampling—0
Two-Stream Networks for Object Segmentation in Videos—0
Two-Stream UNET Networks for Semantic Segmentation in Medical Images—0
Two-View Topogram-Based Anatomy-Guided CT Reconstruction for Prospective Risk Minimization—0
U3DS^3: Unsupervised 3D Semantic Scene Segmentation—0
U4D: Unsupervised 4D Dynamic Scene Understanding—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