SOTAVerified

Segmentation

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 7951–7975 of 13072 papers

TitleStatusHype
Fairness Continual Learning Approach to Semantic Scene Understanding in Open-World Environments—0
Multi-structure bone segmentation in pediatric MR images with combined regularization from shape priors and adversarial network—0
Real-Time Segmentation Networks should be Latency Aware—0
CANet: Channel Extending and Axial Attention Catching Network for Multi-structure Kidney Segmentation—0
Adaptive Prompt Learning with SAM for Few-shot Scanning Probe Microscope Image Segmentation—0
C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation—0
An Unsupervised Approach for Automatic Activity Recognition based on Hidden Markov Model Regression—0
Multi-target and multi-stage liver lesion segmentation and detection in multi-phase computed tomography scans—0
FAD-Net: Frequency-Domain Attention-Guided Diffusion Network for Coronary Artery Segmentation using Invasive Coronary Angiography—0
Multi-task 3D building understanding with multi-modal pretraining—0
FADConv: A Frequency-Aware Dynamic Convolution for Farmland Non-agriculturalization Identification and Segmentation—0
Multi-Task and Multi-Modal Learning for RGB Dynamic Gesture Recognition—0
CC-SAM: SAM with Cross-feature Attention and Context for Ultrasound Image Segmentation—0
Multi-Task Deep Convolutional Neural Network for the Segmentation of Type B Aortic Dissection—0
An Unpaired Cross-modality Segmentation Framework Using Data Augmentation and Hybrid Convolutional Networks for Segmenting Vestibular Schwannoma and Cochlea—0
Multi-Task Deep Learning: Simultaneous Segmentation and Survival Analysis via Cox Proportional Hazards Regression—0
Factorized Diffusion Architectures for Unsupervised Image Generation and Segmentation—0
Multi-task Federated Learning for Heterogeneous Pancreas Segmentation—0
Multi-task fully convolutional network for tree species mapping in dense forests using small training hyperspectral data—0
Multi-task Fusion for Efficient Panoptic-Part Segmentation—0
Multi-task GANs for Semantic Segmentation and Depth Completion with Cycle Consistency—0
Multi-Task Generative Adversarial Network for Handling Imbalanced Clinical Data—0
Dual Shape Guided Segmentation Network for Organs-at-Risk in Head and Neck CT Images—0
Multi-task learning for classification, segmentation, reconstruction, and detection on chest CT scans—0
Advanced Deep Convolutional Neural Network Approaches for Digital Pathology Image Analysis: a comprehensive evaluation with different use cases—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