29 citations · 56 across the 4 of their papers we have counts for
4 papers
Certified Robust Models with Slack Control and Large Lipschitz Constants
Max Losch, David Stutz, Bernt Schiele +1
Despite recent success, state-of-the-art learning-based models remain highly vulnerable to input changes such as adversarial examples. In order to obtain certifiable robustness aga…
Analyzing the Dependency of ConvNets on Spatial Information
Yue Fan, Yongqin Xian, Max Maria Losch +1
Intuitively, image classification should profit from using spatial information. Recent work, however, suggests that this might be overrated in standard CNNs. In this paper, we are…
Interpretability Beyond Classification Output: Semantic Bottleneck Networks
Max Losch, Mario Fritz, Bernt Schiele
Today's deep learning systems deliver high performance based on end-to-end training. While they deliver strong performance, these systems are hard to interpret. To address this iss…
Visual pathways from the perspective of cost functions and multi-task deep neural networks
H. Steven Scholte, Max M. Losch, Kandan Ramakrishnan +2
Vision research has been shaped by the seminal insight that we can understand the higher-tier visual cortex from the perspective of multiple functional pathways with different goal…