May 31, 2022 · We present a simple method, CropMix, for the purpose of producing a rich input distribution from the original dataset distribution.

CropMix is a method for sampling input distribution. CropMix captures multi-scale information from the dataset distribution to form a richer input ...

This work demonstrates that CropMix can be seamlessly applied to virtually any training recipe and neural network architecture performing classification ...

May 31, 2022 · We present a simple method, CropMix, for the purpose of producing a rich input distribution from the original dataset distribution.

@inproceedings{han2022cropmix, title={CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping}, author={Junlin Han and Lars Petersson and ...

Cropmix: Sampling a rich input distribution via multi-scale cropping. J Han, L Petersson, H Li, I Reid. arXiv preprint arXiv:2205.15955, 2022. 7, 2022.

CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping · Junlin Han, Lars Petersson, Hongdong Li, Ian D. Reid. 2022 (modified: 09 Nov 2022); CoRR ...

We present a simple method, CropMix, for the purpose of producing a rich input distribution from the original dataset distribution. Contrastive Learning. 17.

CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping Junlin Han, Lars Petersson, Hongdong Li, Ian Reid ArXiv'2022 [Paper] [Code]. CropMix ...

CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping Junlin Han, Lars Petersson, Hongdong Li, Ian Reid arXiv'2022 [Paper] [Code]. CropMix ...