Comments (4)
Theoretically, the feature learned by VideoMAE is powerful for video understanding. I wonder to know that is VideoMAE pretrained model useful for other downstream tasks such as action segmentation? the authors do not give the results on Breakfast or Salad50 or GTEA
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@Lycus99 For example the AVA dataset for spatial-temporal action deteciton.
Comparing the last two rows, pretraining on K700 with further supervised training can get better performance
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thank you very much!
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I mixed up the concept of "Extra Labels" in the paper and "Extra Data" in the Model Zoo. The checkpoint in "Fine-tune" column should already be "(self + fully) supervised" pretrained.
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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
- learnable position embedding HOT 1
- 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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