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Compositional Convolutional Neural Networks: A Robust and Interpretable
  Model for Object Recognition under Occlusion

Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition under Occlusion

28 June 2020
Adam Kortylewski
Qing Liu
Angtian Wang
Yihong Sun
Alan Yuille
ArXivPDFHTML

Papers citing "Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition under Occlusion"

16 / 16 papers shown
Title
COCO-OLAC: A Benchmark for Occluded Panoptic Segmentation and Image Understanding
COCO-OLAC: A Benchmark for Occluded Panoptic Segmentation and Image Understanding
Wenbo Wei
Jun Wang
Abhir Bhalerao
129
0
0
19 Sep 2024
A Bayesian Approach to OOD Robustness in Image Classification
A Bayesian Approach to OOD Robustness in Image Classification
Prakhar Kaushik
Adam Kortylewski
Alan L. Yuille
26
1
0
12 Mar 2024
Understanding the Role of Pathways in a Deep Neural Network
Understanding the Role of Pathways in a Deep Neural Network
Lei Lyu
Chen Pang
Jihua Wang
27
3
0
28 Feb 2024
MOSE: A New Dataset for Video Object Segmentation in Complex Scenes
MOSE: A New Dataset for Video Object Segmentation in Complex Scenes
Henghui Ding
Chang Liu
Shuting He
Xudong Jiang
Philip H. S. Torr
S. Bai
VOS
27
132
0
03 Feb 2023
OccRob: Efficient SMT-Based Occlusion Robustness Verification of Deep
  Neural Networks
OccRob: Efficient SMT-Based Occlusion Robustness Verification of Deep Neural Networks
Xingwu Guo
Ziwei Zhou
Yueling Zhang
Guy Katz
M. Zhang
AAML
34
5
0
27 Jan 2023
On Pitfalls of Measuring Occlusion Robustness through Data Distortion
On Pitfalls of Measuring Occlusion Robustness through Data Distortion
Antonia Marcu
21
0
0
24 Nov 2022
Robust Category-Level 6D Pose Estimation with Coarse-to-Fine Rendering
  of Neural Features
Robust Category-Level 6D Pose Estimation with Coarse-to-Fine Rendering of Neural Features
Wufei Ma
Angtian Wang
Alan Yuille
Adam Kortylewski
3DH
3DV
19
24
0
12 Sep 2022
OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of
  Individual Nuisances in Natural Images
OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images
Bingchen Zhao
Shaozuo Yu
Wufei Ma
M. Yu
Shenxiao Mei
Angtian Wang
Ju He
Alan Yuille
Adam Kortylewski
26
53
0
29 Nov 2021
Occluded Video Instance Segmentation: Dataset and ICCV 2021 Challenge
Occluded Video Instance Segmentation: Dataset and ICCV 2021 Challenge
Jiyang Qi
Yan Gao
Yao Hu
Xinggang Wang
Xiaoyu Liu
Xiang Bai
Serge J. Belongie
Alan Yuille
Philip H. S. Torr
S. Bai
VOS
27
6
0
15 Nov 2021
Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning
  of 3D Pose
Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose
Angtian Wang
Shenxiao Mei
Alan Yuille
Adam Kortylewski
3DV
28
21
0
27 Oct 2021
Low-resolution Human Pose Estimation
Low-resolution Human Pose Estimation
Chen Wang
Feng Zhang
Xiatian Zhu
S. Ge
27
32
0
19 Sep 2021
Social Fabric: Tubelet Compositions for Video Relation Detection
Social Fabric: Tubelet Compositions for Video Relation Detection
Shuo Chen
Zenglin Shi
Pascal Mettes
Cees G. M. Snoek
ViT
28
21
0
18 Aug 2021
Occluded Video Instance Segmentation: A Benchmark
Occluded Video Instance Segmentation: A Benchmark
Jiyang Qi
Yan Gao
Yao Hu
Xinggang Wang
Xiaoyu Liu
Xiang Bai
Serge J. Belongie
Alan Yuille
Philip H. S. Torr
S. Bai
VOS
VLM
27
135
0
02 Feb 2021
Amodal Segmentation through Out-of-Task and Out-of-Distribution
  Generalization with a Bayesian Model
Amodal Segmentation through Out-of-Task and Out-of-Distribution Generalization with a Bayesian Model
Yihong Sun
Adam Kortylewski
Alan Yuille
27
32
0
25 Oct 2020
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,238
0
24 Jun 2017
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,216
0
16 Nov 2016
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