[D] ImageNet classification training full-resolution, no crop no resize.
Are there papers that do so? ImageNet images have various resolutions. Since we already have adaptive pooling techniques such as global average pooling, attention-based pooling, etc. that support variable resolution, should it be possible?
Random fixed size crop and resize seems hacky.