Fine-Grained Image Recognition Methods and Their Applications in Remote Sensing Images: A Review
Fine-grained image recognition (FGIR), unlike traditional coarse-grained recognition, is
centered on distinguishing fine-level subclasses within broader semantic categories. It holds …
centered on distinguishing fine-level subclasses within broader semantic categories. It holds …
Achieving EEG-based depression recognition using Decentralized-Centralized structure
X Shao, M Ying, J Zhu, X Li, B Hu - Biomedical Signal Processing and …, 2024 - Elsevier
Abstract Currently, electroencephalography (EEG)-based depression recognition using
deep learning methods has become an important approach for early diagnosis and …
deep learning methods has become an important approach for early diagnosis and …
[HTML][HTML] Associating multiple vision transformer layers for fine-grained image representation
Accurate discriminative region proposal has an important effect for fine-grained image
recognition. The vision transformer (ViT) brings about a striking effect in computer vision due …
recognition. The vision transformer (ViT) brings about a striking effect in computer vision due …