Resolution Discrepancy Fix
Hugo explains the importance of training and fine-tuning at different resolutions to address the discrepancy between training and testing strategies. By utilizing higher resolutions during fine-tuning, the model can achieve better performance.In this clip
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Machine Learning Street Talk (MLST)
#044 - Data-efficient Image Transformers (Hugo Touvron)
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