Performance of different student-teacher combinations using Tiny ImageNet dataset.
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https://figshare.com/articles/dataset/Performance_of_different_student-teacher_combinations_using_Tiny_ImageNet_dataset_/22824160
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Our stochastic method consistently performs a lower carbon footprint than the tuned KD approach, keeping similar accuracy. ↑ (↓) means higher (lower) is better.
我们所提出的随机方法始终较经调优的知识蒸馏(Knowledge Distillation,KD)方法拥有更低的碳足迹,同时保持相近的模型准确率。↑(↓)分别代表数值越高(越低)效果越好。
创建时间:
2023-05-15



