閱讀理解《Better and Faster: Knowledge Transfer from Multiple Self-supervised Learning Tasks via Graph D》
文章摘要提出要解決Video representation learning問題現存的方法存在兩個侷限： 1）僅僅侷限在一個任務，忽視了不同任務特徵的補充，因此導致了結果的次優。 2）高額的計算和記憶消耗阻礙了在現實情境的應用。 而本篇文章提出了一個基於圖形的提取框架來處理這些問題： 1）提出了 logits graph、 representation graph 來從多個自我監督任務中
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