SGNet.pytorch
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Additional Features for JAAD/PIE
Hi!
I want to improve the results.
Do you think if I add some more features from JAAD/PIE datasets, then it can improve the metrics. If so, which can be those?
Also, do you think if I add "interaction" or "scene context" features (which are not given in the dataset and thus I have to produce these features myself), will it improve the metrics? I think for "scene context" I would need convulational module, right?
Also, suggest those features also which are NOT included in the datasets but I can extract from the dataset myself and these also can improve the metrics. I was thinking like optical flow, acceleration or velocity of the target pedestrians or any feature else?