Elephant in the room

By Amir Rosenfeld, Richard S. Zemel, John K. Tsotsos. 2018

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Mario Fritz
2. Bernt Schiele
3. Rakshith Shetty
4. Katja Auernhammer
5. Trevor Darrell
6. Ramin Tavakoli Kolagari
7. Markus Zoppelt
8. Wanli Ouyang

Citations in the corpus

• Not Using the Car to See the Sidewalk — Quantifying and Controlling the Effects of Context in Classification and Segmentation (2018, background): “By adding out-of-context objects into images [20] shows that object detection networks are brittle to the presence of out-of-context objects.”
• Attacks on Machine Learning: Lurking Danger for Accountability (2019, background): “Another group of attacks that tamper with data fed into the ML model, and thus are applicable on a wide range of different ML algorithms, are adversarial examples [5, 6, 17, 34, 51, 59], evasion attacks [23, 78], and feature deletion attacks.”