Image compression with Stochastic Winner-Take-All Auto-Encoder

By Thierry Dumas, Aline Roumy, Christine M. Guillemot. 2017

27 citations recorded by the source corpus.

Subfields: 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 Computer Vision and Pattern Recognition

1. Salvador Garcia
2. Francisco Herrera
3. M. J. Jesús
4. Francisco Charte
5. David Charte

Citations in the corpus

• A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines (2018, background): “A less specific goal can be found in [122].”
• Autoencoder Based Image Compression: Can the Learning be Quantization Independent? (2018, unknown): “Deep autoencoders have been shown as promising tools for finding alternative transforms [2, 3, 4].”