To address these issues, a Convolutional Encoder- Decoder with Scale-Recursive Reconstructor (ConvED-SR) is proposed for SEEG speech decoding. ConvED-SR first extracts multiscale speech-related ...

Transformer and Res2Net are taken as two branches of the encoder in this network, with the goal of extracting rich global information for precise lesion segmentation in medical images. Firstly, the ...

Welcome to the Pytorch Essentials repository! This Repo aims to cover fundamental to advanced topics related to PyTorch, providing comprehensive resources for learning and mastering this powerful deep ...

It is a 1:1 matching problem i.e. given a face your task is to compare the candidate face to another and verify whether it is a match or not. My custom CNN model has achieved marvelous performance on ...