Combining Compositional Models and Deep Networks For Robust Object
Classification under Occlusion

Combining Compositional Models and Deep Networks For Robust Object Classification under Occlusion

28 May 2019

Adam Kortylewski

Papers citing "Combining Compositional Models and Deep Networks For Robust Object Classification under Occlusion"

10 / 10 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 49 0 0 08 Apr 2025
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
Robust Category-Level 6D Pose Estimation with Coarse-to-Fine Rendering of Neural Features Wufei Ma Angtian Wang Alan Yuille Adam Kortylewski 3DH 3DV 29 24 0 12 Sep 2022
Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose Angtian Wang Shenxiao Mei Alan Yuille Adam Kortylewski 3DV 31 21 0 27 Oct 2021
Explanations for Occluded Images Hana Chockler Daniel Kroening Youcheng Sun 22 21 0 05 Mar 2021
Occluded Video Instance Segmentation: A Benchmark Jiyang Qi Yan Gao Yao Hu Xinggang Wang Xiaoyu Liu Xiang Bai Serge Belongie Alan Yuille Philip Torr S. Bai VOS VLM 27 135 0 02 Feb 2021
Unsupervised Part Discovery via Feature Alignment Mengqi Guo Yutong Bai Zhishuai Zhang Adam Kortylewski Alan Yuille OCL 3DPC 26 0 0 01 Dec 2020
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
An Entropic Associative Memory L. Pineda Gibrán Fuentes R. Morales 11 10 0 28 Sep 2020
Localizing Occluders with Compositional Convolutional Networks Adam Kortylewski Qing Liu Huiyu Wang Zhishuai Zhang Alan Yuille 11 3 0 18 Nov 2019