From imaging algorithms to quantum methods Seminar

Europe/Warsaw
https://cern.zoom.us/j/66151941204?pwd=n7upvvZYibexBhbtyn5kvTpy36L0Wo.1 (Zoom)

https://cern.zoom.us/j/66151941204?pwd=n7upvvZYibexBhbtyn5kvTpy36L0Wo.1

Zoom

Konrad Klimaszewski (NCBJ), Wojciech Krzemien (NCBJ)
    • 10:00 11:00
      Recent Transformer based architectures for image analysis 1h

      Review of recent Trasformer and beyond architectures that are applicable to machine vision tasks:

      • Quick recap of the Transformer model
      • Vision Transfromer (ViT)
      • Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
      • Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images
      • Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation
      • Mamba: Linear-Time Sequence Modeling with Selective State Spaces
      • Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining
      Speaker: Dr Konrad Klimaszewski (NCBJ)
    • 11:00 11:30
      Discussion 30m
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