We experiment ActionCLIP with different backbones(we choose Transf as our final visual prompt since it obtains the best results) and input frames configurations on k400. Here is the list of pre-trained models that we provide (see Table 6 of the paper).
| model | n-frame | top1 Acc(single-crop) | top5 Acc(single-crop) | checkpoint |
|---|---|---|---|---|
| ViT-B/32 | 8 | 78.36% | 94.25% | link |
| ViT-B/16 | 8 | 81.09% | 95.49% | link |
| ViT-B/16 | 16 | 81.68% | 95.87% | link |
| ViT-B/16 | 32 | 82.32% | 96.20% | link |
On HMDB51 and UCF101 datasets, the accuracy(k400 pretrained) is reported under the accurate setting.
| model | n-frame | top1 Acc(single-crop) | checkpoint |
|---|---|---|---|
| ViT-B/16 | 32 | 97.1% | link |
| model | n-frame | top1 Acc(single-crop) | checkpoint |
|---|---|---|---|
| ViT-B/16 | 32 | 76.2% | link |