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Semantic Segmentation

Papers

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Showing 4876–4900 of 14763 papers

TitleStatusHype
Balancing Multi-Target Semi-Supervised Medical Image Segmentation with Collaborative Generalist and Specialists—0
AME: Attention and Memory Enhancement in Hyper-Parameter Optimization—0
Active Self-Training for Weakly Supervised 3D Scene Semantic Segmentation—0
Expert-Adaptive Medical Image Segmentation—0
Deep Learning for Medical Image Segmentation—0
Deep Learning for Medical Image Processing: Overview, Challenges and Future—0
Generalizing Interactive Backpropagating Refinement for Dense Prediction Networks—0
Generating Attention from Classifier Activations for Fine-grained Recognition—0
Generating Self-Guided Dense Annotations for Weakly Supervised Semantic Segmentation—0
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review—0
Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review—0
Deep Learning for Global Wildfire Forecasting—0
Deep Learning for End-to-End Atrial Fibrillation Recurrence Estimation—0
Balance Divergence for Knowledge Distillation—0
AMBER -- Advanced SegFormer for Multi-Band Image Segmentation: an application to Hyperspectral Imaging—0
Deep Learning for Earth Image Segmentation based on Imperfect Polyline Labels with Annotation Errors—0
Deep Learning For Computer Vision Tasks: A review—0
Deep learning for cardiac image segmentation: A review—0
A Mathematical Explanation of UNet—0
Active Scene Understanding via Online Semantic Reconstruction—0
3D Segmentation with Fully Trainable Gabor Kernels and Pearson's Correlation Coefficient—0
Deep Learning for Automatic Tracking of Tongue Surface in Real-time Ultrasound Videos, Landmarks instead of Contours—0
Deep Learning for automated multi-scale functional field boundaries extraction using multi-date Sentinel-2 and PlanetScope imagery: Case Study of Netherlands and Pakistan—0
Deep learning facilitates fully automated brain image registration of optoacoustic tomography and magnetic resonance imaging—0
Deep learning denoising for EOG artifacts removal from EEG signals—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