Sound evaluation of Vanilla Deep Regression

We are happy to announce the first draft of our paper “A Comprehensive Study of Deep Regression”, in which we propose a sound way to evaluate (vanilla) deep regression methods. I personally think that one of the most interesting conclusions is that the data pre-processing can have much higher impact in the performance that changes in the architecture. Therefore, people out there working on deep regression, pay attention to how you pre-process your images!!!

Comments to the paper are welcome:

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