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Interpreting and Explaining Deep Models Visually
2019
Belgium-Netherlands Conference on Artificial Intelligence
Methods based on deep neural networks (DNNs) have achieved impressive results for several computer vision tasks, such as image classification, object detection, and image generation, etc. Combined with the general tendency in the community of developing methods with a focus on high quantitative performance, this has motivated the wide adoption of DNN-based methods, despite the initial skepticism due to their blackbox characteristics. Our goal is to bridge the gap between methods aiming at model
dblp:conf/bnaic/MWT19
fatcat:bsutgtcxhffddby7auapba3m64