Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation
Loss Source 1: Cross entropy loss，各個階段的分類器都有 Loss Source 2: KL loss，深層的分類器作爲淺層分類器的teacher Loss Source 3: L2 loss from hints，深層分類器的特徵和淺層分類器的特徵做L2 loss，bottleneck即feature adaptation，爲了使student和teacher一樣
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- 1. Awesome Knowledge-Distillation
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