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Spatially Enhanced Cross-Attention

Open yunfeiheng opened this issue 1 year ago • 2 comments

Recently, I have been studying this paper and I am not very clear about formula 4 in the paper. The spatial weight map M is generated for each type of manipulation operation. Therefore, if there are several annotations in the manipulation sequence, there should be several M. So, in formula 4, M should be the sum of all M for each operation of each input? I am not very clear about this calculation.

yunfeiheng avatar Mar 29 '23 03:03 yunfeiheng

Recently, I have been studying this paper and I am not very clear about formula 4 in the paper. The spatial weight map M is generated for each type of manipulation operation. Therefore, if there are several annotations in the manipulation sequence, there should be several M. So, in formula 4, M should be the sum of all M for each operation of each input? I am not very clear about this calculation.

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mamarasulovs avatar May 24 '23 05:05 mamarasulovs

i have a configuration quesion but i cannot reslove it,would someone can help me?

Traceback (most recent call last): File "D:/seqdeepfake/SeqDeepFake/train.py", line 435, in cfg = Config(args.cfg) File "D:\seqdeepfake\SeqDeepFake\models\configuration.py", line 6, in init with open(config_file) as f: TypeError: expected str, bytes or os.PathLike object, not NoneType

islimeng avatar Sep 21 '23 14:09 islimeng