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cs.CV2020
Channel-wise Knowledge Distillation for Dense Prediction
Changyong Shu, Yifan Liu, Jianfei Gao +2
Knowledge distillation (KD) has been proven to be a simple and effective tool for training compact models. Almost all KD variants for dense prediction tasks align the student and t…
cs.CV2020
Deep Variational Luenberger-type Observer for Stochastic Video Prediction
Dong Wang, Feng Zhou, Zheng Yan +4
Considering the inherent stochasticity and uncertainty, predicting future video frames is exceptionally challenging. In this work, we study the problem of video prediction by combi…