most citedBNAS v2: Learning Architectures for Binary Networks with Empirical Improvements

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.CV2021★ 2 cited

BNAS v2: Learning Architectures for Binary Networks with Empirical Improvements

Dahyun Kim, Kunal Pratap Singh, Jonghyun Choi

Backbone architectures of most binary networks are well-known floating point (FP) architectures such as the ResNet family. Questioning that the architectures designed for FP networ…