Robustness of Object Recognition under Extreme Occlusion in Humans and Computational Models

11 May 2019

Papers citing "Robustness of Object Recognition under Extreme Occlusion in Humans and Computational Models"

10 / 10 papers shown

Title
OccRob: Efficient SMT-Based Occlusion Robustness Verification of Deep Neural Networks Xingwu Guo Ziwei Zhou Yueling Zhang Guy Katz Mengdi Zhang AAML 37 5 0 27 Jan 2023
Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing Nataniel Ruiz Sarah Adel Bargal Cihang Xie Kate Saenko Stan Sclaroff ViT 39 5 0 29 Nov 2022
On Pitfalls of Measuring Occlusion Robustness through Data Distortion Antonia Marcu 30 0 0 24 Nov 2022
Soft Augmentation for Image Classification Yang Liu Shen Yan Laura Leal-Taixé James Hays Deva Ramanan 36 11 0 09 Nov 2022
Image Amodal Completion: A Survey Jiayang Ao Qiuhong Ke Krista A. Ehinger 43 16 0 05 Jul 2022
Explanations for Occluded Images Hana Chockler Daniel Kroening Youcheng Sun 27 21 0 05 Mar 2021
Amodal Segmentation through Out-of-Task and Out-of-Distribution Generalization with a Bayesian Model Yihong Sun Adam Kortylewski Alan Yuille 29 32 0 25 Oct 2020
Localizing Occluders with Compositional Convolutional Networks Adam Kortylewski Qing Liu Huiyu Wang Zhishuai Zhang Alan Yuille 13 3 0 18 Nov 2019
Combining Compositional Models and Deep Networks For Robust Object Classification under Occlusion Adam Kortylewski Qing Liu Huiyu Wang Zhishuai Zhang Alan Yuille 17 62 0 28 May 2019
Deep Nets: What have they ever done for Vision? Alan Yuille Chenxi Liu 28 100 0 10 May 2018