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Segmentation

Papers

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Showing 9201–9250 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
ATSO: Asynchronous Teacher-Student Optimization for Semi-Supervised Image Segmentation—0
FedSaaS: Class-Consistency Federated Semantic Segmentation via Global Prototype Supervision and Local Adversarial Harmonization—0
FedSeg: Class-Heterogeneous Federated Learning for Semantic Segmentation—0
Multi-Task, Multi-Domain Deep Segmentation with Shared Representations and Contrastive Regularization for Sparse Pediatric Datasets—0
Feedback Attention for Cell Image Segmentation—0
Feedback Chain Network For Hippocampus Segmentation—0
Feedbackward Decoding for Semantic Segmentation—0
Multitask Network for Joint Object Detection, Semantic Segmentation and Human Pose Estimation in Vehicle Occupancy Monitoring—0
Multi-Task Neural Networks with Spatial Activation for Retinal Vessel Segmentation and Artery/Vein Classification—0
PanopticRecon: Leverage Open-vocabulary Instance Segmentation for Zero-shot Panoptic Reconstruction—0
Fetal Brain Tissue Annotation and Segmentation Challenge Results—0
Fetal Ultrasound Image Segmentation for Measuring Biometric Parameters Using Multi-Task Deep Learning—0
MTP: Multi-Task Pruning for Efficient Semantic Segmentation Networks—0
FE-UNet: Frequency Domain Enhanced U-Net with Segment Anything Capability for Versatile Image Segmentation—0
Few Exemplar-Based General Medical Image Segmentation via Domain-Aware Selective Adaptation—0
Few Labeled Atlases are Necessary for Deep-Learning-Based Segmentation—0
Few-shot 3D LiDAR Semantic Segmentation for Autonomous Driving—0
Multi-Task Self-Supervised Learning for Image Segmentation Task—0
ATSO: Asynchronous Teacher-Student Optimization for Semi-Supervised Medical Image Segmentation—0
Few-Shot 3D Point Cloud Semantic Segmentation via Stratified Class-Specific Attention Based Transformer Network—0
Few-Shot 3D Volumetric Segmentation with Multi-Surrogate Fusion—0
Few-shot adaptation for morphology-independent cell instance segmentation—0
Few-Shot Adaptation of Training-Free Foundation Model for 3D Medical Image Segmentation—0
Few-Shot Airway-Tree Modeling using Data-Driven Sparse Priors—0
Few-Shot Classification & Segmentation Using Large Language Models Agent—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