Analytical interpretation of the gap of CNN’s cognition between SAR and optical target recognition

Author:

Feng Zhenpeng,Ji Hongbing,Daković Miloš,Zhu Mingzhe,Stanković Ljubiša

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference25 articles.

1. Layer-wise relevance propagation for neural networks with local renormalization layers;Binder,2016

2. Polarimetric SAR pixel offset tracking for large-gradient landslide displacement mapping;Cai;International Journal of Applied Earth Observation and Geoinformation,2022

3. Chattopadhay, A., Sarkar, A., Howlader, P., & Balasubramanian, V. N. (2018). Grad-CAM++: Generalized Gradient-Based Visual Explanations for Deep Convolutional Networks. In 2018 IEEE winter conference on applications of computer vision (pp. 839–847).

4. Deng, H., Ren, Q., Zhang, H., & Zhang, Q. (2022). Discovering and explaining the representation bottleneck of dnns. In 2022 international conference on learning representations.

5. VS-CAM: Vertex semantic class activation mapping to interpret vision graph neural network;Feng;Neurocomputing,2023

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