Comments (2)
yztongzhan
commented on July 22, 2024
1
Hi @Separius! Thanks for your interest in our VideoMAE. Unfortunately, we have no plan to release the code and pre-trained models of MoCo v3.
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fmthoker
commented on July 22, 2024
Hi @yztongzhan,
Can you at least provide some training and finetuning details that you used for UCF101 and Kinetics results? I am trying to reproduce your baseline number but there are no details in the paper except we follow image-based moco-v3. Can you please provide more details that could be helpful? E.g batch sizes, learning rates, epochs etc that were used for pretraining and finetuning.
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Related Issues (20)
- What's the finetuning differences between ViT-B 80%acc and 81%acc?
- Can I fine-tine it on a video dataset of 32 frames?
- The Batch size and training epoch not metch with paper
- About the encoder layer output
- Issue Encountered When Loading the Model: "pretrain_videomae_base_patch16_224" HOT 5
- ModuleNotFoundError: No module named 'petrel_client'
- the acc of small batch datasets is too low HOT 4
- Can VideoMAE be used to learn the motion characteristics and appearance characteristics of objects in videos?
- MoCoV3 Training Configuration
- ViT-S and ViT-H models on huggingface
- VideoMAE ViT-H pre-train does not contain the decoder weights HOT 2
- dist_init_required HOT 1
- About pre-trained models
- Fail to finetune from the provided pretrained model checkpoint on UCF101 HOT 5
- How many videos are in your validation set? HOT 3
- could you please provide me the weight of VideoMAE pre-trained on Kinetics-400,I want to use the the weight to extract the features of the thumos14 HOT 4
- The dataset files in the link are not available HOT 2
- BUG: Incorrect temporal indexing?
- UCF101 HOT 4
- Questions about performence on ssv2
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