MCTF ($r=12$)

Reported on 2 benchmarks across 1 task · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision2 results

Image ClassificationonImageNet-1K (With LV-ViT-S)
GFLOPs· 2024-03-15
4.2
best: 6.6 (Base (LV-ViT-S))
Multi-criteria Token Fusion with One-step-ahead Attention for Efficient Vision Transformers arXiv:2403.10030
Image ClassificationonImageNet-1K (With LV-ViT-S)
Top 1 Accuracy· 2024-03-15
83.4
best: 83.5 (MCTF ($r=8$))
Multi-criteria Token Fusion with One-step-ahead Attention for Efficient Vision Transformers arXiv:2403.10030