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VAC-CNN: A Visual Analytics System for Comparative Studies of Deep Convolutional Neural Networks

  • Published:2022 Issue: Volume: Page:1-1
  • ISSN:1077-2626
  • Container-title:IEEE Transactions on Visualization and Computer Graphics
  • language:
  • Short-container-title:IEEE Trans. Visual. Comput. Graphics

Author:

Xuan Xiwei,Zhang Xiaoyu,Kwon Oh-Hyun,Ma Kwan-Liu

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference55 articles.

1. Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations

2. ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models

3. NIMA: Neural Image Assessment

4. Visualizing and understanding convolutional networks;zeiler;European Conference on Computer Vision,2014

5. Striving for simplicity: The all convolutional net;springenberg;ArXiv Preprint,2014

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