chinayi / asrf_with_asformer Goto Github PK
View Code? Open in Web Editor NEWReplace the MS-TCN with ASFormer in asrf
License: MIT License
Replace the MS-TCN with ASFormer in asrf
License: MIT License
在您的project中没有找到train.py文件,请问作者大大可以提供一下嘛
I noticed that
asb = [
copy.deepcopy(Decoder(n_layers, 2, 2, n_features, n_classes, n_classes, att_type='sliding_att', alpha=exponential_descrease(s))) for s in range(n_stages_asb - 1)
]
and
brb = [
SingleStageTCN(1, n_features, 1, n_layers) for _ in range(n_stages_brb - 1)
]
What determines this difference? Why not use Decoder in the brb branch as well?
Thanks!
In the paper it mentioned that
To demonstrate its effectiveness, we conduct a non-hierarchical version by setting the size of the local window in all attention layers to 512, which is the largest window size in the last encoder/decoder block (out of memory if we directly set the size of the local window in all attention layers to the video length).
I was not able to figure out where in the code the attention layer has windows of 512
. can you please point me to the right direction?
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