Comments (1)
Hi, thanks for using the code.
Most of this is normal. The rf
function (the weights that contains rf
in it) and the BatchNorm for avgpool
branch (weights with avgpool_bn
in it) are randomly initialized or initialized in the code, without ImageNet initialization.
Except for the first four items. Those bn weights are not loaded because of a bug, which we have fixed with a commit just now.
Nevertheless, we found not loading the first four items does not have a large affect on the final result.
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Related Issues (16)
- 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
- Applying TAdaConv3d to Timesformer HOT 2
- 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
- features HOT 2
- Use TAdaConv in Video Object Detection? HOT 1
- How to use R(2+1)D with TAda? HOT 1
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