Hi,
As per the paper for short term prediction, you are predicting only a single frame subsampled by a factor of 3 (i.e. for input as {X(t-9), X(t-6), X(t-3, X(t)} you will predict the frame at X_(t+3). In table 2 different values of the AP50 metric are for F2F w/o ar. fine-tuning and with ar. fine-tuning for short term prediction. But should the values not be the same? For predicting a single frame only, how does autoregressive criterion make any difference?
Hi, As per the paper for short term prediction, you are predicting only a single frame subsampled by a factor of 3 (i.e. for input as {X(t-9), X(t-6), X(t-3, X(t)} you will predict the frame at X_(t+3). In table 2 different values of the AP50 metric are for F2F w/o ar. fine-tuning and with ar. fine-tuning for short term prediction. But should the values not be the same? For predicting a single frame only, how does autoregressive criterion make any difference?