RaScaNet: Learning Tiny Models by Raster-Scanning Images

Deep Image Harmonization

less than 1 minute read

Deep Image Harmonization Yi-Hsuan Tsai, et al. “Deep Image Harmonization” Computer Vision and Pattern Recognition 2017

RandAugment: Practical automated data augmentation with a reduced search space

less than 1 minute read

RandAugment: Practical automated data augmentation with a reduced search space Ekin D. Cubuk, et al. “RandAugment: Practical automated data augmentation w...

AutoAugment: Learning Augmentation Strategies from Data

less than 1 minute read

AutoAugment: Learning Augmentation Strategies from Data Ekin D. Cubuk, et al. “AutoAugment: Learning Augmentation Strategies from Data” Computer Vision an...

PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation

less than 1 minute read

PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation Xiangtai Li, et al. “PointFlow: Flowing Semantics Through Points for Aerial Imag...

HyeonCheol Noh

RaScaNet: Learning Tiny Models by Raster-Scanning Images

RaScaNet: Learning Tiny Models by Raster-Scanning Images

RaScaNet: Learning Tiny Models by Raster-Scanning Images 리뷰

Share on

Leave a comment

You may also enjoy

Deep Image Harmonization

RandAugment: Practical automated data augmentation with a reduced search space

AutoAugment: Learning Augmentation Strategies from Data

PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation