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Found 4 papers, 1 papers with code
ReViT: Enhancing Vision Transformers with Attention Residual Connections for Visual Recognition
Vision Transformer (ViT) self-attention mechanism is characterized by feature collapse in deeper layers, resulting in the vanishing of low-level visual features.
Ranked #491 on
Image Classification
on ImageNet
Analyzing EEG Data with Machine and Deep Learning: A Benchmark
Nowadays, machine and deep learning techniques are widely used in different areas, ranging from economics to biology.
Human Silhouette and Skeleton Video Synthesis through Wi-Fi signals
The latter conditions signal-based features in the visual domain to completely replace visual data.
Wi-Fi Passive Person Re-Identification based on Channel State Information
With the increasing need for wireless data transfer, Wi-Fi networks have rapidly grown in recent years providing high throughput and easy deployment.
Signal Processing Networking and Internet Architecture
