21 citations · 40 across the 11 of their papers we have counts for
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cs.CV2024
Mixed Non-linear Quantization for Vision Transformers
Gihwan Kim, Jemin Lee, Sihyeong Park +2
The majority of quantization methods have been proposed to reduce the model size of Vision Transformers, yet most of them have overlooked the quantization of non-linear operations.…
cs.CV2023★ 5 cited
Q-HyViT: Post-Training Quantization of Hybrid Vision Transformers with Bridge Block Reconstruction for IoT Systems
Jemin Lee, Yongin Kwon, Sihyeong Park +3
Recently, vision transformers (ViTs) have superseded convolutional neural networks in numerous applications, including classification, detection, and segmentation. However, the hig…