On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location

16 March 2020

Papers citing "On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location"

50 / 135 papers shown

Title
Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification Ying Bi Bing Xue Mengjie Zhang VLM 72 15 0 27 Sep 2022
Extending GCC-PHAT using Shift Equivariant Neural Networks Axel Berg Mark O'Connor Kalle Åström Magnus Oskarsson 15 10 0 09 Aug 2022
Shift-tolerant Perceptual Similarity Metric Abhijay Ghildyal Feng Liu 17 37 0 27 Jul 2022
Equivariance and Invariance Inductive Bias for Learning from Insufficient Data Tan Wang Qianru Sun Sugiri Pranata J. Karlekar Hanwang Zhang SSL 23 19 0 25 Jul 2022
Designing An Illumination-Aware Network for Deep Image Relighting Zuo-Liang Zhu Z. Li Ruihan Zhang Chunle Guo Ming-Ming Cheng 3DV 3DH 6 12 0 21 Jul 2022
Prior Knowledge Guided Unsupervised Domain Adaptation Tao Sun Cheng Lu Haibin Ling 19 31 0 18 Jul 2022
On the Strong Correlation Between Model Invariance and Generalization Weijian Deng Stephen Gould Liang Zheng OOD 22 15 0 14 Jul 2022
Generalization to translation shifts: a study in architectures and augmentations Suriya Gunasekar 11 1 0 05 Jul 2022
Rethinking Audio-visual Synchronization for Active Speaker Detection Abudukelimu Wuerkaixi You Zhang Z. Duan Changshui Zhang 16 10 0 21 Jun 2022
Convolutional layers are equivariant to discrete shifts but not continuous translations N. McGreivy Ammar Hakim 11 1 0 10 Jun 2022
Unveiling The Mask of Position-Information Pattern Through the Mist of Image Features C. Lin Hsin-Ying Lee Hung-Yu Tseng M. Singh Ming-Hsuan Yang 24 3 0 02 Jun 2022
How Tempering Fixes Data Augmentation in Bayesian Neural Networks Gregor Bachmann Lorenzo Noci Thomas Hofmann BDL AAML 72 8 0 27 May 2022
SeqNet: An Efficient Neural Network for Automatic Malware Detection Jiawei Xu Wenxuan Fu Haoyu Bu Zhi Wang Lingyun Ying AAML 6 3 0 08 May 2022
Evaluating Context for Deep Object Detectors O. Kayhan J. C. V. Gemert ObjD 8 5 0 05 May 2022
A Tour of Visualization Techniques for Computer Vision Datasets B. Alsallakh P. Bhattacharya V. Feng Narine Kokhlikyan Orion Reblitz-Richardson Rahul Rajan David Yan 11 3 0 19 Apr 2022
$Cylin-Painting: Seamless {360\textdegree} Panoramic Image Outpainting and Beyond$ Cylin-Painting: Seamless {360\textdegree} Panoramic Image Outpainting and Beyond K. Liao Xiangyu Xu Chunyu Lin Wenqi Ren Yunchao Wei Yao Zhao 34 8 0 18 Apr 2022
Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer Songwei Ge Thomas Hayes Harry Yang Xiaoyue Yin Guan Pang David Jacobs Jia-Bin Huang Devi Parikh ViT 38 214 0 07 Apr 2022
Leveraging Equivariant Features for Absolute Pose Regression M. A. Musallam Vincent Gaudillière M. O. D. Castillo Kassem Al Ismaeil Djamila Aouada 33 21 0 05 Apr 2022
Locality-Aware Inter-and Intra-Video Reconstruction for Self-Supervised Correspondence Learning Liulei Li Tianfei Zhou Wenguan Wang Lu Yang Jian-Wei Li Yi Yang SSL 19 47 0 27 Mar 2022
High-fidelity GAN Inversion with Padding Space Qingyan Bai Yinghao Xu Jiapeng Zhu Weihao Xia Yujiu Yang Yujun Shen 28 31 0 21 Mar 2022
TVConv: Efficient Translation Variant Convolution for Layout-aware Visual Processing Jie Chen Tianlang He Weipeng Zhuo Li Ma Sangtae Ha Shueng-Han Gary Chan CVBM 6 24 0 20 Mar 2022
Mixed Evidence for Gestalt Grouping in Deep Neural Networks Valerio Biscione J. Bowers 37 9 0 14 Mar 2022
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs Xiaohan Ding X. Zhang Yi Zhou Jungong Han Guiguang Ding Jian-jun Sun VLM 47 525 0 13 Mar 2022
Rigidity Preserving Image Transformations and Equivariance in Perspective Lucas Brynte Georg Bökman Axel Flinth Fredrik Kahl 19 3 0 31 Jan 2022
Deep Learning Methods for Abstract Visual Reasoning: A Survey on Raven's Progressive Matrices Mikolaj Malkiñski Jacek Mañdziuk 117 41 0 28 Jan 2022
O-ViT: Orthogonal Vision Transformer Yanhong Fei Yingjie Liu Xian Wei Mingsong Chen ViT 11 7 0 28 Jan 2022
VIPriors 2: Visual Inductive Priors for Data-Efficient Deep Learning Challenges A. Lengyel Robert-Jan Bruintjes Marcos Baptista-Rios O. Kayhan Davide Zambrano Nergis Tomen J. C. V. Gemert VLM 22 11 0 21 Jan 2022
Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networks Lei Cheng Ruslan Khalitov Tong Yu Zhirong Yang 20 32 0 06 Jan 2022
MPViT: Multi-Path Vision Transformer for Dense Prediction Youngwan Lee Jonghee Kim Jeffrey Willette Sung Ju Hwang ViT 27 243 0 21 Dec 2021
StyleSwin: Transformer-based GAN for High-resolution Image Generation Bo Zhang Shuyang Gu Bo Zhang Jianmin Bao Dong Chen Fang Wen Yong Wang B. Guo ViT 28 221 0 20 Dec 2021
Mitigating the Bias of Centered Objects in Common Datasets Gergely G. Szabo A. Horváth 8 5 0 16 Dec 2021
Physically Consistent Neural Networks for building thermal modeling: theory and analysis L. D. Natale B. Svetozarevic Philipp Heer Colin N. Jones PINN AI4CE 52 83 0 06 Dec 2021
GANSeg: Learning to Segment by Unsupervised Hierarchical Image Generation Xingzhe He Bastian Wandt Helge Rhodin GAN 24 21 0 02 Dec 2021
Semi-Local Convolutions for LiDAR Scan Processing Larissa T. Triess David Peter J. Marius Zöllner 3DPC 17 3 0 30 Nov 2021
Why Do Self-Supervised Models Transfer? Investigating the Impact of Invariance on Downstream Tasks Linus Ericsson H. Gouk Timothy M. Hospedales SSL 8 15 0 22 Nov 2021
Exploring Novel Pooling Strategies for Edge Preserved Feature Maps in Convolutional Neural Networks Adithya Sineesh Mahesh Raveendranatha Panicker 9 2 0 17 Oct 2021
FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes David W. Romero Robert-Jan Bruintjes Jakub M. Tomczak Erik J. Bekkers Mark Hoogendoorn J. C. V. Gemert 74 81 0 15 Oct 2021
Anti-aliasing Deep Image Classifiers using Novel Depth Adaptive Blurring and Activation Function Md Tahmid Hossain S. Teng Ferdous Sohel Guojun Lu 41 13 0 03 Oct 2021
Performance and accuracy assessments of an incompressible fluid solver coupled with a deep Convolutional Neural Network Ekhi Ajuria Illarramendi M. Bauerheim B. Cuenot 22 19 0 20 Sep 2021
Maneuver-based Trajectory Prediction for Self-driving Cars Using Spatio-temporal Convolutional Networks Benedikt Mersch Thomas Höllen Kun-li Zhao C. Stachniss R. Roscher 29 34 0 15 Sep 2021
Pulmonary Disease Classification Using Globally Correlated Maximum Likelihood: an Auxiliary Attention mechanism for Convolutional Neural Networks E. Verenich Tobias Martin Alvaro Velasquez Nazar Khan Faraz Hussain 8 3 0 01 Sep 2021
Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification Lorenzo Brigato Björn Barz Luca Iocchi Joachim Denzler 23 16 0 30 Aug 2021
Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning Gabriele Valvano Andrea Leo Sotirios A. Tsaftaris 21 5 0 26 Aug 2021
Global Pooling, More than Meets the Eye: Position Information is Encoded Channel-Wise in CNNs Md. Amirul Islam M. Kowal Sen Jia Konstantinos G. Derpanis Neil D. B. Bruce 18 26 0 17 Aug 2021
Zero-Shot Day-Night Domain Adaptation with a Physics Prior A. Lengyel Sourav Garg Michael Milford J. C. V. Gemert 34 57 0 11 Aug 2021
Toward Spatially Unbiased Generative Models Jooyoung Choi Jungbeom Lee Yonghyun Jeong Sungroh Yoon DiffM 28 17 0 03 Aug 2021
Parametric Scattering Networks Shanel Gauthier Benjamin Thérien Laurent Alsene-Racicot Muawiz Chaudhary Irina Rish Eugene Belilovsky Michael Eickenberg Guy Wolf 11 16 0 20 Jul 2021
Alias-Free Generative Adversarial Networks Tero Karras M. Aittala S. Laine Erik Härkönen Janne Hellsten J. Lehtinen Timo Aila GAN 58 1,558 0 23 Jun 2021
Effects of boundary conditions in fully convolutional networks for learning spatio-temporal dynamics Antonio Alguacil andr Gonccalves Pinto Wagner Gonçalves Pinto Michaël Bauerheim Marc C. Jacob S. Moreau AI4CE 17 17 0 21 Jun 2021
Improved Padding in CNNs for Quantitative Susceptibility Mapping Juan Liu 11 2 0 21 Jun 2021