Reducing Redundancy in the Bottleneck Representation of the Autoencoders

9 February 2022

Papers citing "Reducing Redundancy in the Bottleneck Representation of the Autoencoders"

7 / 7 papers shown

Title
Channel-wise Feature Decorrelation for Enhanced Learned Image Compression Farhad Pakdaman Moncef Gabbouj 26 3 0 16 Mar 2024
Convolutional autoencoder-based multimodal one-class classification Firas Laakom Fahad Sohrab Jenni Raitoharju Alexandros Iosifidis Moncef Gabbouj DRL 18 2 0 25 Sep 2023
WLD-Reg: A Data-dependent Within-layer Diversity Regularizer Firas Laakom Jenni Raitoharju Alexandros Iosifidis Moncef Gabbouj AI4CE 29 7 0 03 Jan 2023
Efficient CNN with uncorrelated Bag of Features pooling Firas Laakom Jenni Raitoharju Alexandros Iosifidis Moncef Gabbouj 35 2 0 22 Sep 2022
Learning distinct features helps, provably Firas Laakom Jenni Raitoharju Alexandros Iosifidis Moncef Gabbouj MLT 36 6 0 10 Jun 2021
Learning Better Lossless Compression Using Lossy Compression Fabian Mentzer Luc Van Gool Michael Tschannen 68 70 0 23 Mar 2020
End-to-end optimization of nonlinear transform codes for perceptual quality Johannes Ballé Valero Laparra Eero P. Simoncelli 72 244 0 18 Jul 2016