14 citations · 14 across the 1 of their papers we have counts for
2 papers
cs.CV2022★ 14 cited
SaiT: Sparse Vision Transformers through Adaptive Token Pruning
Ling Li, David Thorsley, Joseph Hassoun
While vision transformers have achieved impressive results, effectively and efficiently accelerating these models can further boost performances. In this work, we propose a dense/s…
cs.CV2020
Post-Training Piecewise Linear Quantization for Deep Neural Networks
Jun Fang, Ali Shafiee, Hamzah Abdel-Aziz +3
Quantization plays an important role in the energy-efficient deployment of deep neural networks on resource-limited devices. Post-training quantization is highly desirable since it…