Tag: Vision Transformers
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Controlling Dynamic Head Pruning in Vision Transformers
Enhance Vision Transformer efficiency with sparse autoencoder latents for dynamic head pruning, boosting accuracy and interpretability in computer vision m...
Stress Detection from ECG Using Vision Transformer
Improve stress classification accuracy from ECG signals with vision transformers. Outperforms CNN models on WESAD and RML datasets.
ARTA: Efficient Mixed-Resolution Vision Transformer for Dense Features
Discover ARTA, a mixed-resolution vision transformer that boosts dense feature extraction efficiency with adaptive token allocation and reduced computation...
Discovering Object-Centric Features in Self-Supervised Vision Transformers
Explore how Object-DINO uncovers distributed object-centric features in self-supervised Vision Transformers to boost unsupervised object discovery and redu...