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Models/PPT

PPT

Reported on 10 benchmarks across 2 tasks · 2 papers

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· 2023-10-03
4.6
best: 6.6 (Base (LV-ViT-S))
PPT: Token Pruning and Pooling for Efficient Vision Transformers arXiv:2310.01812
Image ClassificationonImageNet-1K (With LV-ViT-S)
Top 1 Accuracy· 2023-10-03
83.1
best: 83.5 (MCTF ($r=8$))
PPT: Token Pruning and Pooling for Efficient Vision Transformers arXiv:2310.01812
Image ClassificationonImageNet-1K (with DeiT-S)
GFLOPs· 2023-10-03
2.9
best: 4.6 (Base (DeiT-S))
PPT: Token Pruning and Pooling for Efficient Vision Transformers arXiv:2310.01812
Image ClassificationonImageNet-1K (with DeiT-S)
Top 1 Accuracy· 2023-10-03
79.8
best: 80.1 (MCTF ($r=16$))
PPT: Token Pruning and Pooling for Efficient Vision Transformers arXiv:2310.01812
Image ClassificationonImageNet-1K (with DeiT-T)
GFLOPs· 2023-10-03
0.8
best: 1.2 (Base (DeiT-T))
PPT: Token Pruning and Pooling for Efficient Vision Transformers arXiv:2310.01812
Image ClassificationonImageNet-1K (with DeiT-T)
Top 1 Accuracy· 2023-10-03
72.1
best: 72.9 (dTPS)
PPT: Token Pruning and Pooling for Efficient Vision Transformers arXiv:2310.01812

Time Series4 results

Trajectory PredictiononETH/UCY
ADE-8/12· 2024-07-16
0.2
best: 0.54 (Sophie)
Progressive Pretext Task Learning for Human Trajectory Prediction arXiv:2407.11588
Trajectory PredictiononETH/UCY
FDE-8/12· 2024-07-16
0.31
best: 0.84 (Social BiGAT)
Progressive Pretext Task Learning for Human Trajectory Prediction arXiv:2407.11588
Trajectory PredictiononStanford Drone
ADE-8/12 @K = 20· 2024-07-16
7.03
best: 27.23 (Social GAN)
Progressive Pretext Task Learning for Human Trajectory Prediction arXiv:2407.11588
Trajectory PredictiononStanford Drone
FDE-8/12 @K= 20· 2024-07-16
10.65
best: 41.44 (Social GAN)
Progressive Pretext Task Learning for Human Trajectory Prediction arXiv:2407.11588