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Making Convolutional Networks Shift-Invariant Again

25 April 2019

Papers citing "Making Convolutional Networks Shift-Invariant Again"

50 / 438 papers shown

Title
Efficient Integrators for Diffusion Generative ModelsInternational Conference on Learning Representations (ICLR), 2023 Kushagra Pandey Maja R. Rudolph Stephan Mandt DiffM 144 12 0 11 Oct 2023
Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation Lijun Yu José Lezama N. B. Gundavarapu Luca Versari Kihyuk Sohn ... Boqing Gong Ming-Hsuan Yang Irfan Essa David A. Ross Lu Jiang 355 485 0 09 Oct 2023
Investigating Shift Equivalence of Convolutional Neural Networks in Industrial Defect SegmentationIEEE Transactions on Instrumentation and Measurement (IEEE Trans. Instrum. Meas.), 2023 Yunsheng Tian Jieliang Luo Yichen Li Zhengtao Zhang Hui Li 147 7 0 29 Sep 2023
Improving Equivariance in State-of-the-Art Supervised Depth and Normal PredictorsIEEE International Conference on Computer Vision (ICCV), 2023 Yuanyi Zhong Anand Bhattad Yu-Xiong Wang David Forsyth MDE 137 2 0 28 Sep 2023
Convolutional Networks with Oriented 1D KernelsIEEE International Conference on Computer Vision (ICCV), 2023 Alexandre Kirchmeyer Jia Deng 152 7 0 27 Sep 2023
Noise-in, Bias-out: Balanced and Real-time MoCap Solving G. Albanis N. Zioulis Spyridon Thermos Anargyros Chatzitofis Kostas Kolomvatsos 171 0 0 25 Sep 2023
A Generative Approach for Image Registration of Visible-Thermal (VT) Cancer Faces Catherine Ordun Alexandra N. Cha Edward Raff S. Purushotham Karen Kwok Mason Rule J. Gulley MedIm 155 0 0 23 Aug 2023
Using and Abusing Equivariance Tom Edixhoven A. Lengyel Jan van Gemert 127 4 0 22 Aug 2023
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained ModelsInternational Conference on Learning Representations (ICLR), 2023 Peiyan Zhang Hao Liu Chaozhuo Li Xing Xie Sunghun Kim Haohan Wang VLM OOD 268 9 0 21 Aug 2023
HybridAugment++: Unified Frequency Spectra Perturbations for Model RobustnessIEEE International Conference on Computer Vision (ICCV), 2023 M. K. Yucel R. G. Cinbis Pinar Duygulu AAML 135 13 0 21 Jul 2023
Improving Viewpoint Robustness for Visual Recognition via Adversarial Training Shouwei Ruan Yinpeng Dong Han Su Jianteng Peng Ning Chen Xingxing Wei 146 8 0 21 Jul 2023
Optimizing PatchCore for Few/many-shot Anomaly Detection Joao Santos Triet Tran Oliver Rippel 261 18 0 20 Jul 2023
DISA: DIfferentiable Similarity Approximation for Universal Multimodal RegistrationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023 Matteo Ronchetti W. Wein Nassir Navab O. Zettinig R. Prevost 93 12 0 19 Jul 2023
Fix your downsampling ASAP! Be natively more robust via Aliasing and Spectral Artifact free Pooling Julia Grabinski Steffen Jung J. Keuper Margret Keuper AAML 168 9 0 19 Jul 2023
Towards Viewpoint-Invariant Visual Recognition via Adversarial TrainingIEEE International Conference on Computer Vision (ICCV), 2023 Shouwei Ruan Yinpeng Dong Han Su Jianteng Peng Ning Chen Xingxing Wei OOD 158 18 0 16 Jul 2023
On the ability of CNNs to extract color invariant intensity based features for image classification Pradyumna Elavarthi James Lee Anca L. Ralescu 106 2 0 13 Jul 2023
Magenta Green Screen: Spectrally Multiplexed Alpha Matting with Deep ColorizationDigital Production Symposium (DP), 2023 Dmitriy Smirnov Chloe LeGendre Xueming Yu P. Debevec 154 6 0 23 Jun 2023
FFCV: Accelerating Training by Removing Data BottlenecksComputer Vision and Pattern Recognition (CVPR), 2023 Guillaume Leclerc Andrew Ilyas Logan Engstrom Sung Min Park Hadi Salman Aleksander Madry 159 78 0 21 Jun 2023
Towards Stability of Autoregressive Neural Operators Michael McCabe P. Harrington Shashank Subramanian Jed Brown AI4CE 353 33 0 18 Jun 2023
DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic DataNeural Information Processing Systems (NeurIPS), 2023 Stephanie Fu Netanel Y. Tamir Shobhita Sundaram Lucy Chai Richard Y. Zhang Tali Dekel Phillip Isola EGVM 279 209 0 15 Jun 2023
Solving Large-scale Spatial Problems with Convolutional Neural NetworksAsilomar Conference on Signals, Systems and Computers (ACSSC), 2023 Damian Owerko Charilaos I. Kanatsoulis Alejandro Ribeiro 211 2 0 14 Jun 2023
Reviving Shift Equivariance in Vision Transformers Peijian Ding Davit Soselia Thomas Armstrong Jiahao Su Furong Huang 217 10 0 13 Jun 2023
Scale-Rotation-Equivariant Lie Group Convolution Neural Networks (Lie Group-CNNs) Weizheng Qiao Yang Xu Hui Li 155 1 0 12 Jun 2023
Vista-Morph: Unsupervised Image Registration of Visible-Thermal Facial Pairs Catherine Ordun Edward Raff S. Purushotham 115 1 0 10 Jun 2023
FalconNet: Factorization for the Light-weight ConvNetsInternational Conference on Neural Information Processing (ICONIP), 2023 Zhicheng Cai Qiu Shen 292 20 0 10 Jun 2023
Curriculum-Based Augmented Fourier Domain Adaptation for Robust Medical Image SegmentationIEEE Transactions on Automation Science and Engineering (IEEE TASE), 2023 An-Chi Wang Mobarakol Islam Mengya Xu Hongliang Ren OOD 173 18 0 06 Jun 2023
Concurrent Classifier Error Detection (CCED) in Large Scale Machine Learning SystemsIEEE Transactions on Reliability (IEEE Trans. Reliab.), 2023 Pedro Reviriego Ziheng Wang Alvaro Alonso Zhen Gao Farzad Niknia Shanshan Liu Fabrizio Lombardi 81 2 0 02 Jun 2023
(Almost) Provable Error Bounds Under Distribution Shift via Disagreement DiscrepancyNeural Information Processing Systems (NeurIPS), 2023 Elan Rosenfeld Saurabh Garg UQCV 130 12 0 01 Jun 2023
Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits Zhuokai Zhao Takumi Matsuzawa W. Irvine Michael Maire G. Kindlmann 212 3 0 31 May 2023
Making Vision Transformers Truly Shift-EquivariantComputer Vision and Pattern Recognition (CVPR), 2023 Renan A. Rojas-Gomez Teck-Yian Lim Minh N. Do Raymond A. Yeh ViT 255 19 0 25 May 2023
SING: A Plug-and-Play DNN Learning Technique Adrien Courtois Damien Scieur Jean-Michel Morel Pablo Arias Thomas Eboli 128 0 0 25 May 2023
Subspace-Configurable Networks Dong Wang O. Saukh Xiaoxi He Lothar Thiele OOD 239 0 0 22 May 2023
Generative Model Watermarking Suppressing High-Frequency Artifacts Li Zhang Yong-Jin Liu Xinpeng Zhang Hanzhou Wu AAML 119 2 0 21 May 2023
Multi-spectral Class Center Network for Face Manipulation Detection and Localization Changtao Miao Qi Chu Zhentao Tan Zhenchao Jin Tao Gong Wanyi Zhuang Yuehua Wu B. Liu Honggang Hu Nenghai Yu CVBM 156 13 0 18 May 2023
A Survey on the Robustness of Computer Vision Models against Common Corruptions Shunxin Wang Raymond N. J. Veldhuis Christoph Brune N. Strisciuglio OOD VLM 443 21 0 10 May 2023
RelPose++: Recovering 6D Poses from Sparse-view ObservationsInternational Conference on 3D Vision (3DV), 2023 Amy Lin Jason Y. Zhang Deva Ramanan Shubham Tulsiani 3DH 276 80 0 08 May 2023
Controllable Light Diffusion for PortraitsComputer Vision and Pattern Recognition (CVPR), 2023 David Futschik K. Ritland James Vecore S. Fanello S. Orts-Escolano Brian L. Curless Daniel Sýkora Rohit Pandey DiffM 82 10 0 08 May 2023
The Training Process of Many Deep Networks Explores the Same Low-Dimensional ManifoldProceedings of the National Academy of Sciences of the United States of America (PNAS), 2023 Jialin Mao Itay Griniasty H. Teoh Rahul Ramesh Rubing Yang Mark K. Transtrum James P. Sethna Pratik Chaudhari 3DPC 209 20 0 02 May 2023
Latent Traversals in Generative Models as Potential FlowsInternational Conference on Machine Learning (ICML), 2023 Yue Song Andy Keller Andrii Zadaianchuk Max Welling DRL 294 15 0 25 Apr 2023
Fast GraspNeXt: A Fast Self-Attention Neural Network Architecture for Multi-task Learning in Computer Vision Tasks for Robotic Grasping on the Edge Alexander Wong Yifan Wu Saad Abbasi Saeejith Nair Yuhao Chen M. Shafiee 117 15 0 21 Apr 2023
A Robust and Interpretable Deep Learning Framework for Multi-modal Registration via Keypoints Alan Q. Wang Evan M. Yu Adrian Dalca M. Sabuncu 145 35 0 19 Apr 2023
Temporally Consistent Online Depth Estimation Using Point-Based FusionComputer Vision and Pattern Recognition (CVPR), 2023 Numair Khan Eric Penner Douglas Lanman Lei Xiao 3DPC MDE 200 14 0 15 Apr 2023
FreConv: Frequency Branch-and-Integration Convolutional NetworksIEEE International Conference on Multimedia and Expo (ICME), 2023 Zhaowen Li Xu Zhao Peigeng Ding Zongxin Gao Yuting Yang Ming Tang Jinqiao Wang 137 4 0 10 Apr 2023
Robustmix: Improving Robustness by Regularizing the Frequency Bias of Deep Nets Jonas Ngnawé Marianne Abémgnigni Njifon Jonathan Heek Yann N. Dauphin OOD 90 6 0 06 Apr 2023
What Affects Learned Equivariance in Deep Image Recognition Models? Robert-Jan Bruintjes Tomasz Motyka Jan van Gemert 268 11 0 05 Apr 2023
D-Score: A White-Box Diagnosis Score for CNNs Based on Mutation OperatorsInternational Conference on Advanced Data Mining and Applications (ADMA), 2023 Xin Zhang Yuqi Song Xiang Wang Fei Zuo MedIm DiffM 97 2 0 03 Apr 2023
Vision-Language Models for Vision Tasks: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Jingyi Zhang Jiaxing Huang Sheng Jin Shijian Lu VLM 391 927 0 03 Apr 2023
Alias-Free Convnets: Fractional Shift Invariance via Polynomial ActivationsComputer Vision and Pattern Recognition (CVPR), 2023 H. Michaeli T. Michaeli Daniel Soudry 202 18 0 14 Mar 2023
Designing Deep Networks for Scene Recognition Zhinan Qiao Xiaohui Yuan 79 1 0 13 Mar 2023
A Complete Recipe for Diffusion Generative ModelsIEEE International Conference on Computer Vision (ICCV), 2023 Kushagra Pandey Stephan Mandt DiffM 170 11 0 03 Mar 2023

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Making Convolutional Networks Shift-Invariant Again

Papers citing "Making Convolutional Networks Shift-Invariant Again"