Transferring scale-independent features to support multi-scale object recognition with deep convolutional neural network
Xiran Zhou · 2018
Objects are always represented by different scales on remote sensing imageries, which poses challenges for the state-of-the-art convolutional neural networks for multi-scale object recognition. This paper proposes atrous region proposal to facilitating detect other objects within different scales in an ad-hoc manner.