Apply for the model weight of 'vit_g_hybrid_pt_1200e_k710_it_k400_ft'

OpenGVLab / VideoMAEv2

[CVPR 2023] VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking

https://arxiv.org/abs/2303.16727

MIT License

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Apply for the model weight of 'vit_g_hybrid_pt_1200e_k710_it_k400_ft' #35

Closed jinyucn closed 3 months ago

jinyucn commented 10 months ago

Hello, from the download link, I can only find the model weight fine-tuned with 'vit_g_hybrid_pt_1200e_k710_ft' and 'vit_g_hybrid_pt_1200e_ssv2_ft'. Could you provide me with the model fine-tuned on kinetics400, i.e., 'vit_g_hybrid_pt_1200e_k710_it_k400_ft'. My email is jychencs@gmail.com. Thank you.

congee524 commented 3 months ago

Sorry, it's been so long that I couldn't find the checkpoint, but this only requires 1~3 epochs of training, so the resource overhead shouldn't be particularly high.