Compositional Convolutional Neural Networks: A Deep Architecture with
Innate Robustness to Partial Occlusion

Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial Occlusion

10 March 2020

Adam Kortylewski

Papers citing "Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial Occlusion"

18 / 18 papers shown

Title
D-Feat Occlusions: Diffusion Features for Robustness to Partial Visual Occlusions in Object Recognition Rupayan Mallick Sibo Dong Nataniel Ruiz Sarah Adel Bargal DiffM 101 0 0 08 Apr 2025
A Bayesian Approach to OOD Robustness in Image Classification Prakhar Kaushik Adam Kortylewski Alan Yuille 43 2 0 12 Mar 2024
TDAPNet: Prototype Network with Recurrent Top-Down Attention for Robust Object Classification under Partial Occlusion Mingqing Xiao Adam Kortylewski Ruihai Wu Siyuan Qiao Wei Shen Alan Yuille 29 14 0 09 Sep 2019
Combining Compositional Models and Deep Networks For Robust Object Classification under Occlusion Adam Kortylewski Qing Liu Huiyu Wang Zhishuai Zhang Alan Yuille 49 62 0 28 May 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 557 4,735 0 13 May 2019
Robustness of Object Recognition under Extreme Occlusion in Humans and Computational Models Hongru Zhu Peng Tang Jeongho Park Soojin Park Alan Yuille 45 49 0 11 May 2019
AOGNets: Compositional Grammatical Architectures for Deep Learning Xilai Li Xi Song Tianfu Wu 43 25 0 15 Nov 2017
Visual Concepts and Compositional Voting Jianyu Wang Zhishuai Zhang Cihang Xie Yuyin Zhou Vittal Premachandran Jun Zhu Lingxi Xie Alan Yuille 60 34 0 13 Nov 2017
Interpretable Convolutional Neural Networks Quanshi Zhang Ying Nian Wu Song-Chun Zhu FAtt 35 774 0 02 Oct 2017
Improved Regularization of Convolutional Neural Networks with Cutout Terrance Devries Graham W. Taylor 65 3,739 0 15 Aug 2017
Detecting Semantic Parts on Partially Occluded Objects Jianyu Wang Cihang Xie Zhishuai Zhang Jun Zhu Lingxi Xie Alan Yuille 42 34 0 25 Jul 2017
Teaching Compositionality to CNNs Austin Stone Hua-Yan Wang Michael Stark Yi Liu D. Phoenix Dileep George CoGe 37 54 0 14 Jun 2017
Towards Deep Compositional Networks Domen Tabernik Matej Kristan J. Wyatt A. Leonardis CoGe 43 18 0 13 Sep 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.1K 192,638 0 10 Dec 2015
Unsupervised learning of object semantic parts from internal states of CNNs by population encoding Jianyu Wang Zhishuai Zhang Cihang Xie Vittal Premachandran Alan Yuille 50 43 0 21 Nov 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 740 99,991 0 04 Sep 2014
Learning a Hierarchical Compositional Shape Vocabulary for Multi-class Object Representation Sanja Fidler Marko Boben A. Leonardis OCL 40 26 0 23 Aug 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 189 43,290 0 01 May 2014