Detecting Semantic Parts on Partially Occluded Objects

25 July 2017

Cihang Xie

Jun Zhu

Papers citing "Detecting Semantic Parts on Partially Occluded Objects"

20 / 20 papers shown

Title
Are Deep Learning Models Robust to Partial Object Occlusion in Visual Recognition Tasks? Kaleb Kassaw Francesco Luzi Leslie M. Collins Jordan M. Malof VLM 179 2 0 16 Sep 2024
Hardwiring ViT Patch Selectivity into CNNs using Patch Mixing Ariel N. Lee Sarah Adel Bargal Janavi Kasera Stan Sclaroff Kate Saenko Nataniel Ruiz 227 0 0 30 Jun 2023
Now You See Me: Robust approach to Partial Occlusions K. Gunasekaran Nikita Jaiman 271 9 0 24 Apr 2023
BIFRNet: A Brain-Inspired Feature Restoration DNN for Partially Occluded Image RecognitionAAAI Conference on Artificial Intelligence (AAAI), 2023 Jiahong Zhang Lihong Cao Qiuxia Lai Binyao Li Yunxiao Qin 159 4 0 02 Mar 2023
Image Amodal Completion: A SurveyComputer Vision and Image Understanding (CVIU), 2022 Jiayang Ao Qiuhong Ke Krista A. Ehinger 423 25 0 05 Jul 2022
Occlusion Handling in Generic Object Detection: A ReviewInternational Symposium on Applied Machine Intelligence and Informatics (SAMI), 2021 Kaziwa Saleh Sándor Szénási Zoltán Vámossy ObjD 180 68 0 21 Jan 2021
Robustness Out of the Box: Compositional Representations Naturally Defend Against Black-Box Patch Attacks Christian Cosgrove Adam Kortylewski Chenglin Yang Alan Yuille AAML 130 4 0 01 Dec 2020
Unsupervised Part Discovery via Feature Alignment Mengqi Guo Yutong Bai Zhishuai Zhang Adam Kortylewski Alan Yuille OCL 3DPC 163 0 0 01 Dec 2020
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving Di Feng Ali Harakeh Steven Waslander Klaus C. J. Dietmayer AAML UQCV EDL 312 282 0 20 Nov 2020
Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition under Occlusion Adam Kortylewski Qing Liu Angtian Wang Yihong Sun Alan Yuille 160 83 0 28 Jun 2020
Robust Object Detection under Occlusion with Context-Aware CompositionalNets Angtian Wang Yihong Sun Adam Kortylewski Alan Yuille ObjD 245 127 0 24 May 2020
Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial OcclusionComputer Vision and Pattern Recognition (CVPR), 2020 Adam Kortylewski Ju He Qing Liu Alan Yuille 289 101 0 10 Mar 2020
Recurrent Feedback Improves Feedforward Representations in Deep Neural Networks Siming Yan Xuyang Fang Bowen Xiao Harold Rockwell Yimeng Zhang T. Lee SSL 104 10 0 22 Dec 2019
Deep Mixture Density Network for Probabilistic Object Detection Yihui He Jianren Wang UQCV 194 5 0 24 Nov 2019
Combining Compositional Models and Deep Networks For Robust Object Classification under OcclusionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019 Adam Kortylewski Qing Liu Huiyu Wang Zhishuai Zhang Alan Yuille 294 69 0 28 May 2019
Robustness of Object Recognition under Extreme Occlusion in Humans and Computational ModelsAnnual Meeting of the Cognitive Science Society (CogSci), 2019 Hongru Zhu Peng Tang Jeongho Park Soojin Park Alan Yuille 145 58 0 11 May 2019
Semantic Part Detection via Matching: Learning to Generalize to Novel Viewpoints from Limited Training Data Yutong Bai Qing Liu Lingxi Xie Weichao Qiu Yan Zheng Alan Yuille 3DPC 202 10 0 28 Nov 2018
Making Deep Heatmaps Robust to Partial Occlusions for 3D Object Pose Estimation Markus Oberweger Mahdi Rad Vincent Lepetit 3DH 3DPC 308 239 0 11 Apr 2018
Few-shot Learning by Exploiting Visual Concepts within CNNs Boyang Deng Qing Liu Siyuan Qiao Alan Yuille 173 4 0 22 Nov 2017
Visual Concepts and Compositional Voting Jianyu Wang Zhishuai Zhang Cihang Xie Yuyin Zhou Vittal Premachandran Jun Zhu Lingxi Xie Alan Yuille 280 35 0 13 Nov 2017