27 citations · 31 across the 3 of their papers we have counts for
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cs.CV2022★ 2 cited
Restructurable Activation Networks
Kartikeya Bhardwaj, James Ward, Caleb Tung +6
Is it possible to restructure the non-linear activation functions in a deep network to create hardware-efficient models? To address this question, we propose a new paradigm called…
cs.CV2021★ 2 cited
Armour: Generalizable Compact Self-Attention for Vision Transformers
Lingchuan Meng
Attention-based transformer networks have demonstrated promising potential as their applications extend from natural language processing to vision. However, despite the recent impr…