1. Scale-space theory: a basic tool for analyzing structures at different scales;Lindeberg;J. Appl. Stat.,1994
2. Object recognition from local scale-invariant features;Lowe,1999
3. K. Petersen, K. Chernoff, M. Nielsen, A.Y. Ng, Breast density scoring with multiscale denoising autoencoders, in: STMI Workshop At 15th Int. Conf. Medical Image Computing and Computer Assisted Intervention, 2012.
4. M. Mathieu, C. Couprie, Y. LeCun, Deep multi-scale video prediction beyond mean square error, CoRR abs/1511.05440.
5. D. Eigen, C. Puhrsch, R. Fergus, Depth map prediction from a single image using a multi-scale deep network, in: Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, December 8-13 2014, Montreal, Quebec, Canada, 2014, pp. 2366–2374.