IEEE

Progress and Thinking on Self-Supervised Learning Methods in Computer Vision: A Review

Abstract: Deep learning (DL) methods have been widely studied and applied in the field of computer vision (CV) over the past decades. The biggest disadvantage of classic DL methods is that they ...
IEEE

A Multimodal Deep Learning Framework for Depression Detection Using Vision Transformers and Large Language Models

Abstract: This study proposes a novel multimodal deep learning framework for depression detection, integrating visual, audio, and textual data. Using OpenFace and Librosa for feature extraction, the ...