TALLFormer
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questions about mAP results of anet dataset
In the paper, your results is 35.6%. However, you provide three different tools("builtin" "cuhk" "gt"), which one produce results of 35.6%
Sorry for the late response. builtin should produce "35.6%".
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buildtinmeans using the classifier learned by the model. -
cuhkis the classifier that used by many previous work that only have binary predictions (action or not). The scores for each ANet video is in filedata/annots/anet/cuhk_val_simp_share.json. I copied it from some previous work. -
gtis the results using the ground-truth classes. It should be the upper-bound of our method.
Hi @klauscc , if you don't mind, can you give some details about cuhk_val_simp_share.json. I don't understand what it is storing.