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language: en
license: mit
tags:
  - atc

Fine-Tuned Agglomerative Token Clustering - DeiT-Small-Average - NUS-WIDE

Model Details

Agglomerative Token Clustering (ATC), a novel hierarchical hard-merging based token reduction method.

  • Developed by: Joakim Bruslund Haurum, Sergio Escalera, Graham W. Taylor, and Thomas B. Moeslund
  • Model type: Vision Transformer
  • License: MIT
  • Task: Image Classification

Model Card

  • Backbone: DeiT-Small
  • Token Reduction Method: ATC
  • Linkage Function: Average
  • Reduction Ratio: {0.25, 0.5, 0.7, 0.9}
  • Reduction Stages: 3, 6, 9

More Resources

Use

The model files contain both standard and EMA model parameters. The version which gave the best performance is indicated with the "ema_best" boolean.