Training binary weight networks via semi-binary decomposition

Q Hu, G Li, P Wang, Y Zhang… - Proceedings of the …, 2018 - openaccess.thecvf.com
Recently binary weight networks have attracted lots of attentions due to their high
computational efficiency and small parameter size. Yet they still suffer from large accuracy …
被引用次数：25 相关文章
[PDF] ecva.net

[PDF][PDF] Training Binary Weight Networks via Semi-Binary Decomposition

Q Hu, G Li, P Wang, Y Zhang, J Cheng - ecva.net
Recently binary weight networks have attracted lots of attentions due to their high
computational efficiency and small parameter size. Yet they still suffer from large accuracy …

Training Binary Weight Networks via Semi-Binary Decomposition

Q Hu, G Li, P Wang, Y Zhang, J Cheng - European Conference on …, 2018 - dl.acm.org
Recently binary weight networks have attracted lots of attentions due to their high
computational efficiency and small parameter size. Yet they still suffer from large accuracy …
[PDF] eccv2018.org

[PDF][PDF] Training Binary Weight Networks via Semi-Binary Decomposition

Q Hu, G Li, P Wang, Y Zhang, J Cheng - eccv2018.org
Recently binary weight networks have attracted lots of attentions due to their high
computational efficiency and small parameter size. Yet they still suffer from large accuracy …

Training Binary Weight Networks via Semi-Binary Decomposition

Q Hu, G Li, P Wang, Y Zhang, J Cheng - European Conference on …, 2018 - Springer
Recently binary weight networks have attracted lots of attentions due to their high
computational efficiency and small parameter size. Yet they still suffer from large accuracy …