I tried reproducing the UCF101 results under zero-shot setting (not generalized) with the .mat files shared in the repo. If I am not wrong the key "att" in the .mat file corresponds to manual attributes and not word2vec vector because the key "original_att" contains one-hot vector (hence I am assuming it's attributes). But I am unable to reproduce the result of 38% accuracy from the paper. I am getting on average 25% accuracy. Is it possible that the .mat file for UCF contains word2vec representation and not the manual attributes?
I tried reproducing the UCF101 results under zero-shot setting (not generalized) with the .mat files shared in the repo. If I am not wrong the key "att" in the .mat file corresponds to manual attributes and not word2vec vector because the key "original_att" contains one-hot vector (hence I am assuming it's attributes). But I am unable to reproduce the result of 38% accuracy from the paper. I am getting on average 25% accuracy. Is it possible that the .mat file for UCF contains word2vec representation and not the manual attributes?