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[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.

submitted by /u/tsauri
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.