Methods > Computer Vision > Image Data Augmentation

Image Scale Augmentation


Image Scale Augmentation is an augmentation technique where we randomly pick the short size of a image within a dimension range. One use case of this augmentation technique is in object detectiont asks.

Latest Papers

PAPER DATE
A Comparative Study on Efficiencies of Variants of Convolutional Neural Networks based on Image Classification Task
| Ayush Sharma
2020-10-15
SpinalNet: Deep Neural Network with Gradual Input
| H M Dipu KabirMoloud AbdarSeyed Mohammad Jafar JalaliAbbas KhosraviAmir F. AtiyaSaeid NahavandiDipti Srinivasan
2020-07-07
ResNeSt: Split-Attention Networks
| Hang ZhangChongruo wuZhongyue ZhangYi ZhuHaibin LinZhi ZhangYue SunTong HeJonas MuellerR. ManmathaMu LiAlexander Smola
2020-04-19
EfficientDet: Scalable and Efficient Object Detection
| Mingxing TanRuoming PangQuoc V. Le
2019-11-20
Learning Data Augmentation Strategies for Object Detection
| Barret ZophEkin D. CubukGolnaz GhiasiTsung-Yi LinJonathon ShlensQuoc V. Le
2019-06-26

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🤖 No Components Found You can add them if they exist; e.g. Mask R-CNN uses RoIAlign

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