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Test-Time Adaptation of Quantized ViTs via Single-Pass Quantizer-Aligned Recalibration
Post-training quantization is a standard route to fitting vision transformers (ViTs) into edge compute and memory budgets, yet quantized models become especially brittle under distribution shift. Test-time adaptation (TTA) addresses such shifts without labels, but most existing approaches are poorly
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