Alex gave a thought at the reasons for his award. “One reasons for it is, I think” Alex begins “that it's a paper with relatively clear contribution. We have a very clear problem and application side problem that we want to solve. And for this, we propose a set of contributions. The connection between the application, the problem and the solution is relatively clear in this paper. And another thing that I like about the paper and that I could also imagine that the jury that decided for this award liked about the paper is that the solutions that we are proposing are relatively simple: no crazy new architecture, or an ultra complex neural network. We are proposing three contributions that are relatively straightforward, but achieve empirically very good results.” The secret of this paper? “Multiple iterations!” reveals Alex “as we refined it in multiple steps. I look now at the first version of the paper and compare it to the final version that won the award here, I see a very large difference!” 13 Computer Vision News Computer Vision News Cross-domain and …
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