SOTAVerified

Segmentation

Papers

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Showing 9201–9225 of 13072 papers

TitleStatusHype
Attention Based Semantic Segmentation on UAV Dataset for Natural Disaster Damage Assessment—0
Attention-based Multi-modal Fusion Network for Semantic Scene Completion—0
Attention-based fusion of semantic boundary and non-boundary information to improve semantic segmentation—0
Feature Pyramid Transformer—0
Multi-Task Learning in Histo-pathology for Widely Generalizable Model—0
Feature Selective Transformer for Semantic Image Segmentation—0
Feature Sharing Cooperative Network for Semantic Segmentation—0
Multi-task Learning To Improve Semantic Segmentation Of CBCT Scans Using Image Reconstruction—0
Multi-Task Learning via Scale Aware Feature Pyramid Networks and Effective Joint Head—0
Attention-based Feature Decomposition-Reconstruction Network for Scene Text Detection—0
FedCostWAvg: A new averaging for better Federated Learning—0
Attention-based Dual Supervised Decoder for RGBD Semantic Segmentation—0
Attention-based CT Scan Interpolation for Lesion Segmentation of Colorectal Liver Metastases—0
Federated Alternate Training (FAT): Leveraging Unannotated Data Silos in Federated Segmentation for Medical Imaging—0
Attention Augmented ConvNeXt UNet For Rectal Tumour Segmentation—0
Federated Learning with Partially Labeled Data: A Conditional Distillation Approach—0
Exploring Limits of Diffusion-Synthetic Training with Weakly Supervised Semantic Segmentation—0
Federated Self-Supervised Learning for One-Shot Cross-Modal and Cross-Imaging Technique Segmentation—0
Federated Semi-supervised Learning for Medical Image Segmentation with intra-client and inter-client Consistency—0
Reducing the Model Variance of a Rectal Cancer Segmentation Network—0
Federated Unsupervised Semantic Segmentation—0
Attention and Pooling based Sigmoid Colon Segmentation in 3D CT images—0
Multi-task MR Imaging with Iterative Teacher Forcing and Re-weighted Deep Learning—0
AttenScribble: Attentive Similarity Learning for Scribble-Supervised Medical Image Segmentation—0
AttendSeg: A Tiny Attention Condenser Neural Network for Semantic Segmentation on the Edge—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