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Semantic Segmentation

Papers

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Showing 9451–9500 of 14763 papers

TitleStatusHype
Multi-Stage Fusion for One-Click Segmentation—0
Multi-stage Object Detection with Group Recursive Learning—0
Multi-Stage Pathological Image Classification using Semantic Segmentation—0
Multi-Stain Multi-Level Convolutional Network for Multi-Tissue Breast Cancer Image Segmentation—0
Multi-stream 3D FCN with Multi-scale Deep Supervision for Multi-modality Isointense Infant Brain MR Image Segmentation—0
Multi-stream CNN based Video Semantic Segmentation for Automated Driving—0
CANet: Channel Extending and Axial Attention Catching Network for Multi-structure Kidney Segmentation—0
Multi-Target Domain Adaptation with Collaborative Consistency Learning—0
MultiTask-CenterNet (MCN): Efficient and Diverse Multitask Learning using an Anchor Free Approach—0
Multi-Task Consistency for Active Learning—0
Multi Task Consistency Guided Source-Free Test-Time Domain Adaptation Medical Image Segmentation—0
Multi-task deep learning for image segmentation using recursive approximation tasks—0
Multi-Task Domain Adaptation for Deep Learning of Instance Grasping from Simulation—0
Multi-Task Driven Explainable Diagnosis of COVID-19 using Chest X-ray Images—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 GANs for Semantic Segmentation and Depth Completion with Cycle Consistency—0
Multi-Task Generative Adversarial Network for Handling Imbalanced Clinical Data—0
Multi-Task Learning based Video Anomaly Detection with Attention—0
Multi-task Learning for Macromolecule Classification, Segmentation and Coarse Structural Recovery in Cryo-Tomography—0
Multi-task Learning for Real-time Autonomous Driving Leveraging Task-adaptive Attention Generator—0
Multi-task learning from fixed-wing UAV images for 2D/3D city modeling—0
Multi-Task Learning in Histo-pathology for Widely Generalizable Model—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
Reducing the Model Variance of a Rectal Cancer Segmentation Network—0
Multi-Task Learning with Knowledge Distillation for Dense Prediction—0
Multi-task Localization and Segmentation for X-ray Guided Planning in Knee Surgery—0
Multitask Network for Joint Object Detection, Semantic Segmentation and Human Pose Estimation in Vehicle Occupancy Monitoring—0
Multi-Task Network Pruning and Embedded Optimization for Real-time Deployment in ADAS—0
Multi-Task Neural Processes—0
MTP: Multi-Task Pruning for Efficient Semantic Segmentation Networks—0
Multi-Task Self-Supervised Learning for Image Segmentation Task—0
Multi-task Swin Transformer for Motion Artifacts Classification and Cardiac Magnetic Resonance Image Segmentation—0
Multi-Temporal Aerial Image Registration Using Semantic Features—0
Multi-utility Learning: Structured-output Learning with Multiple Annotation-specific Loss Functions—0
Multiview and Multiclass Image Segmentation using Deep Learning in Fetal Echocardiography—0
Multiview Based 3D Scene Understanding On Partial Point Sets—0
Multi-view Cardiac Image Segmentation via Trans-Dimensional Priors—0
Multi-View Correlation Consistency for Semi-Supervised Semantic Segmentation—0
Multiview Cross-supervision for Semantic Segmentation—0
Multi-View Deep Learning for Consistent Semantic Mapping with RGB-D Cameras—0
Multi-view PointNet for 3D Scene Understanding—0
Multi-view Remote Sensing Image Segmentation With SAM priors—0
Multi-view Spectral Polarization Propagation for Video Glass Segmentation—0
MUNet: Motion Uncertainty-aware Semi-supervised Video Object Segmentation—0
Muographic Image Upsampling with Machine Learning for Built Infrastructure Applications—0
MuSCLe: A Multi-Strategy Contrastive Learning Framework for Weakly Supervised Semantic Segmentation—0
Mutual- and Self- Prototype Alignment for Semi-supervised Medical Image Segmentation—0
Mutual Evidential Deep Learning for Medical Image Segmentation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-H (M3I Pre-training)Params (M)1,310—Unverified
2ViT-P (InternImage-H)Validation mIoU63.6—Unverified
3ONE-PEACEValidation mIoU63—Unverified
4InternImage-HValidation mIoU62.9—Unverified
5M3I Pre-training (InternImage-H)Validation mIoU62.9—Unverified
6BEiT-3Validation mIoU62.8—Unverified
7EVAValidation mIoU62.3—Unverified
8ViT-P (OneFormer, InternImage-H)Validation mIoU61.6—Unverified
9ViT-Adapter-L (Mask2Former, BEiTv2 pretrain)Validation mIoU61.5—Unverified
10FD-SwinV2-GValidation mIoU61.4—Unverified