AS-LV-S (60%)

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· 2022-09-28
3.9
best: 6.6 (Base (LV-ViT-S))
Adaptive Sparse ViT: Towards Learnable Adaptive Token Pruning by Fully Exploiting Self-Attention arXiv:2209.13802
Image ClassificationonImageNet-1K (With LV-ViT-S)
Top 1 Accuracy· 2022-09-28
82.6
best: 83.5 (MCTF ($r=8$))
Adaptive Sparse ViT: Towards Learnable Adaptive Token Pruning by Fully Exploiting Self-Attention arXiv:2209.13802