MCG-NJU / VideoMAE

[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
https://arxiv.org/abs/2203.12602
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TODO/videomae_pretrain_base_patch16_224_frame_16x4_tube_mask_ratio_0.9_e1600/checkpoint-1599.pth #110

Open xiaoli4881 opened 1 year ago

xiaoli4881 commented 1 year ago

I can't found the checkpoint file : TODO/videomae_pretrain_base_patch16_224_frame_16x4_tube_mask_ratio_0.9_e1600/checkpoint-1599.pth

hagonata commented 8 months ago

I can't found the checkpoint file : TODO/videomae_pretrain_base_patch16_224_frame_16x4_tube_mask_ratio_0.9_e1600/checkpoint-1599.pth

you can download it by yourself from modelzoo