MCTF ($r=16$)

Reported on 6 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 Vision6 results

Image ClassificationonImageNet-1K (With LV-ViT-S)
GFLOPs· 2024-03-15
3.6
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
82.3
best: 83.5 (MCTF ($r=8$))
Multi-criteria Token Fusion with One-step-ahead Attention for Efficient Vision Transformers arXiv:2403.10030
Image ClassificationonImageNet-1K (with DeiT-S)
GFLOPs· 2024-03-15
2.6
best: 4.6 (Base (DeiT-S))
Multi-criteria Token Fusion with One-step-ahead Attention for Efficient Vision Transformers arXiv:2403.10030
Image ClassificationonImageNet-1K (with DeiT-S)
Top 1 Accuracy· 2024-03-15
80.1
Multi-criteria Token Fusion with One-step-ahead Attention for Efficient Vision Transformers arXiv:2403.10030
Image ClassificationonImageNet-1K (with DeiT-T)
GFLOPs· 2024-03-15
0.7
best: 1.2 (Base (DeiT-T))
Multi-criteria Token Fusion with One-step-ahead Attention for Efficient Vision Transformers arXiv:2403.10030
Image ClassificationonImageNet-1K (with DeiT-T)
Top 1 Accuracy· 2024-03-15
72.7
best: 72.9 (dTPS)
Multi-criteria Token Fusion with One-step-ahead Attention for Efficient Vision Transformers arXiv:2403.10030