Discover and read the best of Twitter Threads about #acmmm21

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πŸ“’ In our #ACMMM21 paper, we highlight issues with training and evaluation of π—°π—Ώπ—Όπ˜„π—± π—°π—Όπ˜‚π—»π˜π—Άπ—»π—΄ deep networks. πŸ§΅πŸ‘‡
For far too long, π—°π—Ώπ—Όπ˜„π—± π—°π—Όπ˜‚π—»π˜π—Άπ—»π—΄ works in #CVPR, #AAAI, #ICCV, #NeurIPS have reported only MAE, but not standard deviation.
Looking at MAE and standard deviation from MAE, a very grim picture emerges. E.g. Imagine a SOTA net with MAE 71.7 but deviation is a whopping 376.4 !
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