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Junrui Xiao

2 accepted papers

2023

RepQ-ViT: Scale Reparameterization for Post-Training Quantization of Vision Transformers

ICCV 2023poster

Post-training quantization (PTQ), which only requires a tiny dataset for calibration without end-to-end retraining, is a light and practical model compression technique. Recently, several PTQ schemes for vision transformers (ViTs) have been presented; unfortunately, they typically suffer from non-tr…

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2022

Patch Similarity Aware Data-Free Quantization for Vision Transformers

ECCV 2022poster

"Vision transformers have recently gained great success on various computer vision tasks; nevertheless, their high model complexity makes it challenging to deploy on resource-constrained devices. Quantization is an effective approach to reduce model complexity, and data-free quantization, which can…