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Found 2 papers, 2 papers with code
PSAQ-ViT V2: Towards Accurate and General Data-Free Quantization for Vision Transformers
In this paper, we propose PSAQ-ViT V2, a more accurate and general data-free quantization framework for ViTs, built on top of PSAQ-ViT.
Patch Similarity Aware Data-Free Quantization for Vision Transformers
The above insights guide us to design a relative value metric to optimize the Gaussian noise to approximate the real images, which are then utilized to calibrate the quantization parameters.
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