Web: http://arxiv.org/abs/2204.11526

June 17, 2022, 1:13 a.m. | Su Lu, Han-Jia Ye, De-Chuan Zhan

cs.CV updates on arXiv.org arxiv.org

The outpouring of various pre-trained models empowers knowledge
distillation~(KD) by providing abundant teacher resources. Meanwhile, exploring
the massive model repository to select a suitable teacher and further
extracting its knowledge become daunting challenges. Standard KD fails to
surmount two obstacles when training a student with the availability of
plentiful pre-trained teachers, i.e., the "faculty". First, we need to seek out
the most contributive teacher in the faculty efficiently rather than
enumerating all of them for a student. Second, since the …

arxiv distillation faculty lg transport

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