A progressive fine-to-coarse reconstruction schedule with a two-stage optimization strategy improves 3-bit and 4-bit post-training quantization accuracy for vision transformers, achieving 75.61% Top-1 on ViT-B at 3 bits.
, author Nagel, M
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Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers
A progressive fine-to-coarse reconstruction schedule with a two-stage optimization strategy improves 3-bit and 4-bit post-training quantization accuracy for vision transformers, achieving 75.61% Top-1 on ViT-B at 3 bits.