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RRL:Regional Rotation Layer in Convolutional Neural Networks
Known solutions include the enhancement of training data and the increase of rotation invariance by globally merging the rotation equivariant features.
PMC-GANs: Generating Multi-Scale High-Quality Pedestrian with Multimodal Cascaded GANs
Recently, generative adversarial networks (GANs) have shown great advantages in synthesizing images, leading to a boost of explorations of using faked images to augment data.
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