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mrwu-mac / DIFNet

This repository is for the paper ``DIFNet: Boosting Visual Information Flow for Image Captioning'' (CVPR 2022).
BSD 3-Clause "New" or "Revised" License
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为什么你的val集用在train #9

Closed LeXueTao closed 1 year ago

LeXueTao commented 1 year ago

你代码中test和val都是加载的val文件，相当于val里面的数据训练了两遍，然后还拿出来测试

mrwu-mac commented 1 year ago

We follow the previous works, which adopt the Karpathy splits, where 5,000 images are used for validation, 5,000 images for testing, and the rest images for training.