Efficient token pruning in Vision Transformers using an attention-based Multilayer Network

This publication has 31 references indexed in Scilit:

• SAlexNet: Superimposed AlexNet using residual attention mechanism for accurate and efficient automatic primary brain tumor detection and classification
  Results in Engineering, 2025
• Neighbor patches merging reduces spatial redundancy to accelerate vision transformer
  Neurocomputing, 2024
• Enhancing crop productivity and sustainability through disease identification in maize leaves: Exploiting a large dataset with an advanced vision transformer model
  Expert Systems with Applications, 2023
• MC-ViViT: Multi-branch Classifier-ViViT to detect Mild Cognitive Impairment in older adults using facial videos
  Expert Systems with Applications, 2023
• A general-purpose edge-feature guidance module to enhance vision transformers for plant disease identification
  Expert Systems with Applications, 2023
• Automatic detection of schizophrenia based on spatial–temporal feature mapping and LeViT with EEG signals
  Expert Systems with Applications, 2023
• A Multilayer Network-Based Approach to Represent, Explore and Handle Convolutional Neural Networks
  Cognitive Computation, 2022
• A-ViT: Adaptive Tokens for Efficient Vision Transformer
  2022
• ImageNet Large Scale Visual Recognition Challenge
  International Journal of Computer Vision, 2015
• The structure and dynamics of multilayer networks
  Physics Reports, 2014