Comments (2)
qinzhi-0110
commented on July 22, 2024
Thanks for using our features. 6144 = 3*2048. Our current open source epic features are extracted by tadaconv. 3 means that the video is cropped three times (i.e. left, middle and right). 6912 is the dimension of vivit feature, but this part of the feature is still in the approval process.
Tadaconv supports 256 images as input, so it is better to use 256. However, vivit only supports 224.
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wolfworld6
commented on July 22, 2024
Thanks for using our features. 6144 = 3*2048. Our current open source epic features are extracted by tadaconv. 3 means that the video is cropped three times (i.e. left, middle and right). 6912 is the dimension of vivit feature, but this part of the feature is still in the approval process.
Tadaconv supports 256 images as input, so it is better to use 256. However, vivit only supports 224.
thx， thus the model architecture using Tadaconv for Epic-Kitchens-100 will not be released for now？
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Related Issues (15)
- code release HOT 2
- some questions about flops and inference time HOT 1
- TAdaConvNeXt-T HOT 3
- Frame description and temporal modeling HOT 1
- Applying TadaConv HOT 1
- Batch-wise and Temporal-wise modeling HOT 1
- I am curious about why the flops and parms of TAdaConvNeXt-T is one half of the ResNet50's, to my knowledge they should be similar. HOT 2
- apply AdaConv to P3D or SlowFast HOT 1
- EPIC-KITCHENS Action Features HOT 2
- Some questions on using _decode_image rather than _decode_video HOT 2
- Issue on running on sthv2 HOT 2
- Problems on loading imagenet weight HOT 1
- Use TAdaConv in Video Object Detection? HOT 1
- How to use R(2+1)D with TAda? HOT 1
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