The repository contains official PyTorch implementations of training and evaluation codes and pre-trained models for our ICASSP 2024 paper LEFormer. Figure 1: Overview architecture of LEFormer, ...
Abstract: Utilizing signal processing tools in deep learning models has been drawing increasing attention. Fourier transform (FT), one of the most popular signal processing tools, is employed in many ...
Abstract: Automatic sleep stage classification plays an essential role in sleep quality measurement and sleep disorder diagnosis. Although many approaches have been developed, most use only ...
A vast majority of multi-modal AI systems function as a relay race. For example, an image will come in through the Vision Encoder, be transformed into a language the Language Model understands and ...
This repo is used for recording, tracking, and benchmarking several recent transformer-based visual segmentation methods, as a supplement to our survey. If you find any work missing or have any ...
The Transformer branch is constructed based on the ViT-Base/16 architecture and adopts a block-wise stage-output strategy. Input images are resized to 224×224 and processed through patch embedding and ...
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Digestive system cancers, including hepatobiliary and gastrointestinal malignancies, remain a major global oncological burden ...
Integrating Visual Sensing and Machine Learning for Advancements in Plant Phenotyping and Precision Agriculture ...
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