Comments (2)
hunto
commented on May 31, 2024
Hi @dydxdt ,
config中提供的 configs/strategies/MBV2/mbv2.yaml 策略，是用于mbv2 imagenet训练的baseline策略，其精度大约在73.3%。使用 configs/strategies/MBV2/mbv2_se_aa.yaml能得到约74.3%的精度，算是目前mbv2比较高的精度了。
同样，在resnet上，configs/strategies/resnet/resnet.yam 是与torchvision一致的baseline训练策略，精度大约在76.1%。configs/strategies/resnet/seresnext.yaml 会更强一些，大约能到78.5%。
对于你自己的数据集，这部分在imagenet上较高精度的策略不一定对你的任务最优。策略的调整取决于数据集大小、任务难度等特性，需要进行一些调参。
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dydxdt
commented on May 31, 2024
感谢～
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