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Segmentation

Papers

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Showing 7976–8000 of 13072 papers

TitleStatusHype
Multitask Learning For Different Subword Segmentations In Neural Machine Translation—0
Dual-Stage Deeply Supervised Attention-based Convolutional Neural Networks for Mandibular Canal Segmentation in CBCT Scans—0
Multi-task Learning for Macromolecule Classification, Segmentation and Coarse Structural Recovery in Cryo-Tomography—0
OCU-Net: A Novel U-Net Architecture for Enhanced Oral Cancer Segmentation—0
Multi-task Learning for Optical Coherence Tomography Angiography (OCTA) Vessel Segmentation—0
Dual Structure-Aware Image Filterings for Semi-supervised Medical Image Segmentation—0
Robust 6D Object Pose Estimation with Stochastic Congruent Sets—0
Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation—0
Fairness Continual Learning Approach to Semantic Scene Understanding in Open-World Environments—0
Real-Time Segmentation Networks should be Latency Aware—0
Multi-Task Learning via Scale Aware Feature Pyramid Networks and Effective Joint Head—0
C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation—0
Multi-task MR Imaging with Iterative Teacher Forcing and Re-weighted Deep Learning—0
Multi-Task, Multi-Domain Deep Segmentation with Shared Representations and Contrastive Regularization for Sparse Pediatric Datasets—0
Multitask Network for Joint Object Detection, Semantic Segmentation and Human Pose Estimation in Vehicle Occupancy Monitoring—0
An Unsupervised Approach for Automatic Activity Recognition based on Hidden Markov Model Regression—0
Multi-Task Neural Networks with Spatial Activation for Retinal Vessel Segmentation and Artery/Vein Classification—0
MTP: Multi-Task Pruning for Efficient Semantic Segmentation Networks—0
Multi-Task Self-Supervised Learning for Image Segmentation Task—0
FAD-Net: Frequency-Domain Attention-Guided Diffusion Network for Coronary Artery Segmentation using Invasive Coronary Angiography—0
MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning—0
Multi-temporal crack segmentation in concrete structure using deep learning approaches—0
Multi-Threshold Attention U-Net (MTAU) based Model for Multimodal Brain Tumor Segmentation in MRI scans—0
FADConv: A Frequency-Aware Dynamic Convolution for Farmland Non-agriculturalization Identification and Segmentation—0
CC-SAM: SAM with Cross-feature Attention and Context for Ultrasound Image 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