Towards Deep Compositional Networks

13 September 2016

Papers citing "Towards Deep Compositional Networks"

6 / 6 papers shown

Title
Fully trainable Gaussian derivative convolutional layer Valentin Penaud-Polge Santiago Velasco-Forero Jesús Angulo 21 9 0 18 Jul 2022
LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-Resolution and Beyond Wenbo Li Kun Zhou Lu Qi Nianjuan Jiang Jiangbo Lu Jiaya Jia 21 167 0 21 May 2021
Using latent space regression to analyze and leverage compositionality in GANs Lucy Chai Jonas Wulff Phillip Isola GAN 40 75 0 18 Mar 2021
Combining Compositional Models and Deep Networks For Robust Object Classification under Occlusion Adam Kortylewski Qing Liu Huiyu Wang Zhishuai Zhang Alan Yuille 11 62 0 28 May 2019
Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks Domen Tabernik Matej Kristan A. Leonardis 16 22 0 20 Feb 2019
Teaching Compositionality to CNNs Austin Stone Hua-Yan Wang Michael Stark Yi Liu D. Phoenix Dileep George CoGe 13 54 0 14 Jun 2017