Scale-Invariant Convolutional Neural Networks

24 November 2014

Tianjun Xiao

Papers citing "Scale-Invariant Convolutional Neural Networks"

25 / 25 papers shown

Title
Scale generalisation properties of extended scale-covariant and scale-invariant Gaussian derivative networks on image datasets with spatial scaling variations Andrzej Perzanowski Tony Lindeberg 50 1 0 17 Sep 2024
Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits Zhuokai Zhao Takumi Matsuzawa W. Irvine Michael Maire G. Kindlmann 45 2 0 31 May 2023
Scale-Equivariant UNet for Histopathology Image Segmentation Yi-Lun Yang S. Dasmahapatra S. Mahmoodi 28 11 0 10 Apr 2023
Deep Neural Networks with Efficient Guaranteed Invariances M. Rath A. P. Condurache 16 4 0 02 Mar 2023
Steerable Equivariant Representation Learning Sangnie Bhardwaj Willie McClinton Tongzhou Wang Guillaume Lajoie Chen Sun Phillip Isola Dilip Krishnan OOD LLMSV 31 5 0 22 Feb 2023
Hawk: An Industrial-strength Multi-label Document Classifier Arshad Javeed 34 1 0 15 Jan 2023
Text2Light: Zero-Shot Text-Driven HDR Panorama Generation Zhaoxi Chen Guangcong Wang Ziwei Liu 90 30 0 20 Sep 2022
Scale dependant layer for self-supervised nuclei encoding Peter Naylor Yao-Hung Hubert Tsai Marick Laé Makoto Yamada SSL 28 0 0 22 Jul 2022
Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap Yifei Wang Qi Zhang Yisen Wang Jiansheng Yang Zhouchen Lin 27 98 0 25 Mar 2022
Improving the Sample-Complexity of Deep Classification Networks with Invariant Integration M. Rath A. P. Condurache 25 8 0 08 Feb 2022
Deformation Robust Roto-Scale-Translation Equivariant CNNs Liyao (Mars) Gao Guang Lin Wei-wei Zhu 20 8 0 22 Nov 2021
Learning Online Visual Invariances for Novel Objects via Supervised and Self-Supervised Training Valerio Biscione J. Bowers 43 13 0 04 Oct 2021
Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scales Ylva Jansson T. Lindeberg 11 23 0 11 Jun 2021
DISCO: accurate Discrete Scale Convolutions Ivan Sosnovik A. Moskalev A. Smeulders 23 31 0 04 Jun 2021
Rotation-Invariant Autoencoders for Signals on Spheres Suhas Lohit Shubhendu Trivedi MDE 22 5 0 08 Dec 2020
Truly shift-invariant convolutional neural networks Anadi Chaman Ivan Dokmanić 23 68 0 28 Nov 2020
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location O. Kayhan J. C. V. Gemert 209 232 0 16 Mar 2020
Do CNNs Encode Data Augmentations? Eddie Q. Yan Yanping Huang OOD 13 5 0 29 Feb 2020
Deep High-Resolution Representation Learning for Visual Recognition Jingdong Wang Ke Sun Tianheng Cheng Borui Jiang Chaorui Deng ... Yadong Mu Mingkui Tan Xinggang Wang Wenyu Liu Bin Xiao 195 3,531 0 20 Aug 2019
Dynamic Stale Synchronous Parallel Distributed Training for Deep Learning Xing Zhao Aijun An Junfeng Liu B. Chen 26 57 0 16 Aug 2019
Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping Suhas Lohit Qiao Wang P. Turaga ViT 11 56 0 13 Jun 2019
Why do deep convolutional networks generalize so poorly to small image transformations? Aharon Azulay Yair Weiss 37 557 0 30 May 2018
Saliency Preservation in Low-Resolution Grayscale Images Shivanthan A. C. Yohanandan A. Dyer Dacheng Tao A. Song FAtt 31 24 0 06 Dec 2017
Scale-aware Fast R-CNN for Pedestrian Detection Jianan Li Xiaodan Liang Shengmei Shen Tingfa Xu Jiashi Feng Shuicheng Yan ObjD 16 782 0 28 Oct 2015
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,636 0 03 Jul 2012