Deyin Liu

Multi-scale Spatial Representation Learning via Recursive Hermite Polynomial Networks

Multi-scale representation learning aims to leverage diverse features from different layers of Convolutional Neural Networks (CNNs) for boosting the feature robustness to scale variance. For dense prediction tasks, two key properties should be satisfied: the high spatial variance across convolutiona…