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"

35 / 135 papers shown

Title
TS2Vec: Towards Universal Representation of Time Series Zhihan Yue Yujing Wang Juanyong Duan Tianmeng Yang Congrui Huang Yu Tong Bixiong Xu AI4TS 11 544 0 19 Jun 2021
Exploiting Learned Symmetries in Group Equivariant Convolutions A. Lengyel J. C. V. Gemert 19 4 0 09 Jun 2021
Hallucination In Object Detection -- A Study In Visual Part Verification O. Kayhan Bart Vredebregt J. C. V. Gemert 15 14 0 04 Jun 2021
Negational Symmetry of Quantum Neural Networks for Binary Pattern Classification Nanqing Dong Michael C. Kampffmeyer Irina Voiculescu Eric P. Xing 10 7 0 20 May 2021
Breaking Shortcut: Exploring Fully Convolutional Cycle-Consistency for Video Correspondence Learning Yansong Tang Zhenyu Jiang Zhenda Xie Yue Cao Zheng-Wei Zhang Philip H. S. Torr Han Hu 35 5 0 12 May 2021
Relative stability toward diffeomorphisms indicates performance in deep nets Leonardo Petrini Alessandro Favero Mario Geiger M. Wyart OOD 18 15 0 06 May 2021
Patch Shortcuts: Interpretable Proxy Models Efficiently Find Black-Box Vulnerabilities Julia Rosenzweig Joachim Sicking Sebastian Houben Michael Mock Maram Akila AAML 16 3 0 22 Apr 2021
Tracking translation invariance in CNNs Johannes C. Myburgh Coenraad Mouton Marelie Hattingh Davel 14 13 0 13 Apr 2021
Deep Weakly Supervised Positioning Ruoyu Wang Xuchu Xu Li Ding Yang Huang Chen Feng SSL 20 0 0 10 Apr 2021
LatentKeypointGAN: Controlling GANs via Latent Keypoints Xingzhe He Bastian Wandt Helge Rhodin GAN 19 6 0 29 Mar 2021
Stride and Translation Invariance in CNNs Coenraad Mouton Johannes C. Myburgh Marelie Hattingh Davel 17 29 0 18 Mar 2021
Set-to-Sequence Methods in Machine Learning: a Review Mateusz Jurewicz Leon Derczynski BDL 22 9 0 17 Mar 2021
NeRD: Neural Representation of Distribution for Medical Image Segmentation Hang Zhang Rongguang Wang Jinwei Zhang Chao Li Gufeng Yang P. Spincemaille T. Nguyen Yi Wang 19 15 0 06 Mar 2021
VIPriors 1: Visual Inductive Priors for Data-Efficient Deep Learning Challenges Robert-Jan Bruintjes A. Lengyel Marcos Baptista-Rios O. Kayhan J. C. V. Gemert VLM 12 11 0 05 Mar 2021
Shift Invariance Can Reduce Adversarial Robustness Songwei Ge Vasu Singla Ronen Basri David Jacobs AAML OOD 13 26 0 03 Mar 2021
Do Input Gradients Highlight Discriminative Features? Harshay Shah Prateek Jain Praneeth Netrapalli AAML FAtt 13 57 0 25 Feb 2021
Segmentation-Renormalized Deep Feature Modulation for Unpaired Image Harmonization Mengwei Ren Neel Dey J. Fishbaugh Guido Gerig MedIm 103 38 0 11 Feb 2021
Position, Padding and Predictions: A Deeper Look at Position Information in CNNs Md. Amirul Islam M. Kowal Sen Jia Konstantinos G. Derpanis Neil D. B. Bruce 19 55 0 28 Jan 2021
Spectral Leakage and Rethinking the Kernel Size in CNNs Nergis Tomen J. C. V. Gemert AAML 13 18 0 25 Jan 2021
How Shift Equivariance Impacts Metric Learning for Instance Segmentation J. L. Rumberger Xiaoyan Yu Peter Hirsch Melanie Dohmen Vanessa Emanuela Guarino Ashkan Mokarian Lisa Mais Jan Funke Dagmar Kainmueller 22 6 0 14 Jan 2021
Towards glass-box CNNs Manaswini Piduguralla Jignesh S. Bhatt 11 3 0 11 Jan 2021
Positional Encoding as Spatial Inductive Bias in GANs Rui Xu Xintao Wang Kai-xiang Chen Bolei Zhou Chen Change Loy GAN 25 89 0 09 Dec 2020
An Empirical Method to Quantify the Peripheral Performance Degradation in Deep Networks C. Wloka John K. Tsotsos 16 0 0 04 Dec 2020
Truly shift-invariant convolutional neural networks Anadi Chaman Ivan Dokmanić 10 68 0 28 Nov 2020
Learning Translation Invariance in CNNs Valerio Biscione J. Bowers SSL 11 13 0 06 Nov 2020
Structured Visual Search via Composition-aware Learning Mert Kilickaya A. Smeulders CoGe 12 5 0 27 Oct 2020
Robust Pre-Training by Adversarial Contrastive Learning Ziyu Jiang Tianlong Chen Ting-Li Chen Zhangyang Wang 6 226 0 26 Oct 2020
Mind the Pad -- CNNs can Develop Blind Spots B. Alsallakh Narine Kokhlikyan Vivek Miglani Jun Yuan Orion Reblitz-Richardson 8 74 0 05 Oct 2020
Computational Separation Between Convolutional and Fully-Connected Networks Eran Malach Shai Shalev-Shwartz 6 26 0 03 Oct 2020
Shift Equivariance in Object Detection M. Manfredi Yu Wang ObjD 9 18 0 13 Aug 2020
Lift, Splat, Shoot: Encoding Images From Arbitrary Camera Rigs by Implicitly Unprojecting to 3D Jonah Philion Sanja Fidler 13 1,011 0 13 Aug 2020
DANA: Dimension-Adaptive Neural Architecture for Multivariate Sensor Data Mohammad Malekzadeh R. Clegg Andrea Cavallaro Hamed Haddadi AI4TS 17 3 0 05 Aug 2020
Distilling Visual Priors from Self-Supervised Learning Bingchen Zhao Xin Wen SSL 6 14 0 01 Aug 2020
Deep Hough-Transform Line Priors Yancong Lin S. Pintea J. C. V. Gemert 20 74 0 18 Jul 2020
How Much Position Information Do Convolutional Neural Networks Encode? Md. Amirul Islam Sen Jia Neil D. B. Bruce SSL 197 344 0 22 Jan 2020