Papers citing 'Making Convolutional Networks Shift-Invariant Again'

Title
Truly shift-equivariant convolutional neural networks with adaptive polyphase upsamplingAsilomar Conference on Signals, Systems and Computers (ACSSC), 2021 Anadi Chaman Ivan Dokmanić 152 11 0 09 May 2021
NTIRE 2021 Challenge on Perceptual Image Quality Assessment Jinjin Gu Haoming Cai Chao Dong Jimmy S. J. Ren Yu Qiao ... Sewoong Ahn Gwangjin Yoon Koki Tsubota Hiroaki Akutsu Kiyoharu Aizawa SupR 210 40 0 07 May 2021
Relative stability toward diffeomorphisms indicates performance in deep netsNeural Information Processing Systems (NeurIPS), 2021 Leonardo Petrini Alessandro Favero Mario Geiger Matthieu Wyart OOD 275 15 0 06 May 2021
Ensembling with Deep Generative ViewsComputer Vision and Pattern Recognition (CVPR), 2021 Lucy Chai Jun-Yan Zhu Eli Shechtman Phillip Isola Richard Y. Zhang GAN 210 73 0 29 Apr 2021
Low Pass Filter for Anti-aliasing in Temporal Action Localization Cece Jin Yuanqi Chen Ge Li Tao Zhang Thomas H. Li 100 1 0 23 Apr 2021
Equivariant Wavelets: Fast Rotation and Translation Invariant Wavelet Scattering TransformsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 A. Saydjari D. Finkbeiner 138 22 0 22 Apr 2021
On Aliased Resizing and Surprising Subtleties in GAN Evaluation Gaurav Parmar Richard Y. Zhang Jun-Yan Zhu EGVM 396 84 0 22 Apr 2021
Learning Transferable 3D Adversarial Cloaks for Deep Trained Detectors Arman Maesumi Mingkang Zhu Yi Wang Tianlong Chen Zinan Lin Minh Nguyen 161 11 0 22 Apr 2021
Does enhanced shape bias improve neural network robustness to common corruptions?International Conference on Learning Representations (ICLR), 2021 Chaithanya Kumar Mummadi Ranjitha Subramaniam Robin Hutmacher Julien Vitay Volker Fischer J. H. Metzen 173 43 0 20 Apr 2021
Estimating Traffic Speeds using Probe Data: A Deep Neural Network Approach Felix Rempe P. Franeck Klaus Bogenberger 3DV 134 2 0 19 Apr 2021
ComBiNet: Compact Convolutional Bayesian Neural Network for Image SegmentationInternational Conference on Artificial Neural Networks (ICANN), 2021 Martin Ferianc Divyansh Manocha Hongxiang Fan Miguel R. D. Rodrigues UQCV 92 5 0 14 Apr 2021
Aligning Latent and Image Spaces to Connect the UnconnectableIEEE International Conference on Computer Vision (ICCV), 2021 Ivan Skorokhodov Grigorii Sotnikov Mohamed Elhoseiny DiffM 138 92 0 14 Apr 2021
Tracking translation invariance in CNNs Johannes C. Myburgh Coenraad Mouton Marelie Hattingh Davel 119 14 0 13 Apr 2021
Autoequivariant Network Search via Group Decomposition Sourya Basu A. Magesh Harshit Yadav Lav Varshney 185 6 0 10 Apr 2021
The art of defense: letting networks fool the attackerIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2021 Jinlai Zhang Lyvjie Chen Binbin Liu Bojun Ouyang Jihong Zhu Minchi Kuang Houqing Wang Yanmei Meng AAML 3DPC 258 19 0 07 Apr 2021
A New Dimension in Testimony: Relighting Video with Reflectance Field Exemplars Loc Huynh B. Kishore P. Debevec 3DH 189 3 0 06 Apr 2021
LiftPool: Bidirectional ConvNet PoolingInternational Conference on Learning Representations (ICLR), 2021 Jiaojiao Zhao Cees G. M. Snoek 124 24 0 02 Apr 2021
Unconstrained Scene Generation with Locally Conditioned Radiance FieldsIEEE International Conference on Computer Vision (ICCV), 2021 Terrance Devries Miguel Angel Bautista Nitish Srivastava Graham W. Taylor J. Susskind 263 163 0 01 Apr 2021
Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen BenchmarkNeural Information Processing Systems (NeurIPS), 2021 Sharada Mohanty Jyotish Poonganam Adrien Gaidon Andrey Kolobov Blake Wulfe ... Jacob Hilton William H. Guss Sahika Genc John Schulman K. Cobbe 158 28 0 29 Mar 2021
Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active QueriesAAAI Conference on Artificial Intelligence (AAAI), 2021 Hai-Jian Ke Lue Tao Songcan Chen Sheng-Jun Huang AAML OOD 128 14 0 27 Mar 2021
Modeling the Nonsmoothness of Modern Neural Networks Runze Liu Chau-Wai Wong H. Dai FAtt 85 0 0 26 Mar 2021
Diverse Branch Block: Building a Convolution as an Inception-like UnitComputer Vision and Pattern Recognition (CVPR), 2021 Xiaohan Ding Xinming Zhang Jungong Han Guiguang Ding AI4CE 149 380 0 24 Mar 2021
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance FieldsIEEE International Conference on Computer Vision (ICCV), 2021 Jonathan T. Barron B. Mildenhall Matthew Tancik Peter Hedman Ricardo Martín Brualla Pratul P. Srinivasan 369 2,428 0 24 Mar 2021
Scaling Local Self-Attention for Parameter Efficient Visual BackbonesComputer Vision and Pattern Recognition (CVPR), 2021 Ashish Vaswani Prajit Ramachandran A. Srinivas Niki Parmar Blake A. Hechtman Jonathon Shlens 318 452 0 23 Mar 2021
Stride and Translation Invariance in CNNs Coenraad Mouton Johannes C. Myburgh Marelie Hattingh Davel 92 33 0 18 Mar 2021
Revisiting ResNets: Improved Training and Scaling StrategiesNeural Information Processing Systems (NeurIPS), 2021 Irwan Bello W. Fedus Xianzhi Du E. D. Cubuk A. Srinivas Nayeon Lee Jonathon Shlens Barret Zoph 198 334 0 13 Mar 2021
VDSM: Unsupervised Video Disentanglement with State-Space Modeling and Deep Mixtures of ExpertsComputer Vision and Pattern Recognition (CVPR), 2021 M. Vowels Necati Cihan Camgöz Richard Bowden CoGe 272 8 0 12 Mar 2021
Involution: Inverting the Inherence of Convolution for Visual RecognitionComputer Vision and Pattern Recognition (CVPR), 2021 Duo Li Jie Hu Changhu Wang Xiangtai Li Qi She Lei Zhu Tong Zhang Qifeng Chen BDL 199 356 0 10 Mar 2021
Contemplating real-world object classificationInternational Conference on Learning Representations (ICLR), 2021 Ali Borji OOD 109 9 0 08 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 126 16 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 Jan van Gemert VLM 122 13 0 05 Mar 2021
Shift Invariance Can Reduce Adversarial RobustnessNeural Information Processing Systems (NeurIPS), 2021 Songwei Ge Vasu Singla Ronen Basri David Jacobs AAML OOD 202 29 0 03 Mar 2021
Learning Transferable Visual Models From Natural Language SupervisionInternational Conference on Machine Learning (ICML), 2021 Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 2.0K 40,402 0 26 Feb 2021
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial NetworksNeural Information Processing Systems (NeurIPS), 2021 J. Lee Haeri Kim Youngkyu Hong Hye Won Chung 199 24 0 24 Feb 2021
Towards Causal Representation Learning Bernhard Schölkopf Francesco Locatello Stefan Bauer Nan Rosemary Ke Nal Kalchbrenner Anirudh Goyal Yoshua Bengio OOD CML AI4CE 292 339 0 22 Feb 2021
How Convolutional Neural Networks Deal with AliasingIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021 Antônio H. Ribeiro Thomas B. Schon SupR 162 25 0 15 Feb 2021
Segmentation-Renormalized Deep Feature Modulation for Unpaired Image HarmonizationIEEE Transactions on Medical Imaging (IEEE TMI), 2021 Mengwei Ren Neel Dey J. Fishbaugh Guido Gerig MedIm 307 41 0 11 Feb 2021
Deep Photo Scan: Semi-Supervised Learning for dealing with the real-world degradation in Smartphone Photo ScanningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021 Man M. Ho Jinjia Zhou 193 4 0 11 Feb 2021
Single-Shot Cuboids: Geodesics-based End-to-end Manhattan Aligned Layout Estimation from Spherical PanoramasImage and Vision Computing (IVC), 2021 N. Zioulis Federico Álvarez D. Zarpalas P. Daras 3DV 156 12 0 07 Feb 2021
Spectral Roll-off Points Variations: Exploring Useful Information in Feature Maps by Its Variations Yunkai Yu Yuyang You Zhihong Yang Guozheng Liu Peiyao Li Zhicheng Yang Wenjing Shan 175 2 0 31 Jan 2021
Spectral Leakage and Rethinking the Kernel Size in CNNsIEEE International Conference on Computer Vision (ICCV), 2021 Nergis Tomen Jan van Gemert AAML 249 23 0 25 Jan 2021
LEAF: A Learnable Frontend for Audio ClassificationInternational Conference on Learning Representations (ICLR), 2021 Neil Zeghidour O. Teboul Félix de Chaumont Quitry Marco Tagliasacchi VLM AAML 219 163 0 21 Jan 2021
How Shift Equivariance Impacts Metric Learning for Instance SegmentationIEEE International Conference on Computer Vision (ICCV), 2021 J. L. Rumberger Xiaoyan Yu Peter Hirsch Melanie Dohmen Vanessa Emanuela Guarino Ashkan Mokarian Lisa Mais Jan Funke Dagmar Kainmueller 130 8 0 14 Jan 2021
Fast Facial Landmark Detection and Applications: A SurveyJournal of Computational Science and Technology (JCST), 2021 K. Khabarlak L. Koriashkina CVBM 3DH 310 68 0 12 Jan 2021
Multi-stage Deep Layer Aggregation for Brain Tumor Segmentation Carlos Alberto Silva Adriano Pinto Sérgio Pereira Ana P. Lopes 106 14 0 02 Jan 2021
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with TransformersComputer Vision and Pattern Recognition (CVPR), 2020 Sixiao Zheng Jiachen Lu Hengshuang Zhao Xiatian Zhu Zekun Luo ... Yanwei Fu Jianfeng Feng Tao Xiang Juil Sock Li Zhang ViT 480 3,370 0 31 Dec 2020
Data augmentation and image understanding Alex Hernandez-Garcia 134 6 0 28 Dec 2020
Toward Transformer-Based Object Detection Josh Beal Eric Kim Eric Tzeng Dong Huk Park Andrew Zhai Dmitry Kislyuk ViT 232 241 0 17 Dec 2020
CompositeTasking: Understanding Images by Spatial Composition of TasksComputer Vision and Pattern Recognition (CVPR), 2020 Nikola Popovic D. Paudel Thomas Probst Guolei Sun Luc Van Gool 187 7 0 16 Dec 2020
SSD-GAN: Measuring the Realness in the Spatial and Spectral DomainsAAAI Conference on Artificial Intelligence (AAAI), 2020 Yuanqi Chen Ge Li Cece Jin Shan Liu Thomas H. Li 190 61 0 10 Dec 2020