Visualizations of Deep Neural Networks in Computer Vision: A Survey

By Christin Seifert, Aisha Aamir, Aparna Balagopalan, Dhruvi Jain, Abhinav Sharma, Sebastian Grottel, Stefan Gumhold. 2017

74 citations recorded by the source corpus.

Subfields: Biophysics, Computer Vision and Pattern Recognition

How researchers see this paper

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

In Biophysics

1. Willem F. G. Haselager
2. Marcel A. J. van Gerven
3. Gabrielle Ras

In Computer Vision and Pattern Recognition

1. Willem F. G. Haselager
2. Marcel A. J. van Gerven
3. Pallabi Saikia
4. Vadlamani Ravi
5. Sanchita Basak
6. Saptarshi Sengupta
7. R. Peters
8. Gabrielle Ras

Citations in the corpus

• Explanation Methods in Deep Learning: Users, Values, Concerns and Challenges (2018, methodology): “Fortunately, these problems have not escaped the attention of the ML/Deep Learning (DL) community [58, 48, 50, 41, 23, 38, 35, 14].”
• A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends (2019, background): “Deep Learning for Computer Vision: A Brief Review [229] A Survey on Deep Learning Methods for Robot Vision [230] Deep learning for visual understanding: A review [228] Deep Learning Advances in Computer Vision with 3D Data: A Survey [231] Visualizations of Deep Neural Networks in Computer Vision: A ”