AOGNets: Deep AND-OR Grammar Networks for Visual Recognition

By Xilai Li, Tianfu Wu, Xi Song, Hamid Krim. 2017

10 citations recorded by the source corpus.

How researchers see this paper

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

1. Gabrielle Ras
2. Marcel A. J. van Gerven
3. Willem F. G. Haselager
4. Sarah Wiegreffe
5. Amina Adadi
6. Max Bucher
7. Christian Meske
8. Chiara Zucco

Citations in the corpus

• Explanation Methods in Deep Learning: Users, Values, Concerns and Challenges (2018, background): “as part of the loss function [12, 11], modules that add additional capabilities [49, 43], or as part of the architecture structure, in terms of operations between layers [32, 55, 33, 19].”
• Adaptively Connected Neural Networks (2019, unknown): “[21]).”