如何看待DECI团队提出的YOLO-NAS？ - 知乎
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以autonac 工具为基础直面小目标检测问题，yolo nas模型由此诞生。 yolo nas改进主要体现在训练方面，引入qsp 和qci 量化感知模块，结合了8 位量化的重参数化，以最小化训练后量化过程中的精度损失。摒弃了标准量化方法，预训练采用自动标记数据、自蒸馏和大
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