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Please refer to Table 2 in the paper for the effect of random cropping (RC) compared to precomputed features (1C). Details on different data augmentation are discussed in section 3. https://arxiv.org/pdf/1707.05612.pdf
Hi, First of all, it is very helpful and grateful to open your code.
I have a question about your precomputed dataset.
For training, vse model, for coco dataset, code use some data augmentation methods.
t_list = [transforms.RandomResizedCrop(opt.crop_size),
transforms.RandomHorizontalFlip()]
Did you consider the data augmentation while making a precomputed dataset?
Thank you
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