Locally Scale-Invariant Convolutional Neural Networks

16 December 2014

Papers citing "Locally Scale-Invariant Convolutional Neural Networks"

37 / 37 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 58 1 0 17 Sep 2024
TpopT: Efficient Trainable Template Optimization on Low-Dimensional Manifolds Jingkai Yan Shiyu Wang Xinyu Rain Wei Jimmy Wang Z. Márka S. Márka John N. Wright 29 1 0 16 Oct 2023
Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits Zhuokai Zhao Takumi Matsuzawa W. Irvine Michael Maire G. Kindlmann 56 2 0 31 May 2023
Scale-Equivariant UNet for Histopathology Image Segmentation Yi-Lun Yang S. Dasmahapatra S. Mahmoodi 30 12 0 10 Apr 2023
Deep Neural Networks with Efficient Guaranteed Invariances M. Rath Alexandru Paul Condurache 23 4 0 02 Mar 2023
Empowering Networks With Scale and Rotation Equivariance Using A Similarity Convolution Zikai Sun T. Blu 29 6 0 01 Mar 2023
Equivariant and Steerable Neural Networks: A review with special emphasis on the symmetric group Patrick Krüger Hanno Gottschalk 32 1 0 08 Jan 2023
A Rotation Meanout Network with Invariance for Dermoscopy Image Classification and Retrieval Yilan Zhang Feng-ying Xie Xuedong Song Hangning Zhou Yiguang Yang Haopeng Zhang Jie Liu OOD 16 9 0 01 Aug 2022
Scale dependant layer for self-supervised nuclei encoding Peter Naylor Yao-Hung Hubert Tsai Marick Laé Makoto Yamada SSL 36 0 0 22 Jul 2022
Improving the Sample-Complexity of Deep Classification Networks with Invariant Integration M. Rath Alexandru Paul Condurache 25 8 0 08 Feb 2022
Quantised Transforming Auto-Encoders: Achieving Equivariance to Arbitrary Transformations in Deep Networks Jianbo Jiao João F. Henriques BDL OOD MQ 15 2 0 25 Nov 2021
Deformation Robust Roto-Scale-Translation Equivariant CNNs Liyao (Mars) Gao Guang Lin Wei-wei Zhu 32 8 0 22 Nov 2021
Wiggling Weights to Improve the Robustness of Classifiers Sadaf Gulshad Ivan Sosnovik A. Smeulders OOD 30 0 0 18 Nov 2021
Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scales Ylva Jansson T. Lindeberg 13 23 0 11 Jun 2021
Resolution learning in deep convolutional networks using scale-space theory Silvia L.Pintea Nergis Tomen Stanley F. Goes Marco Loog Jan van Gemert SupR SSL 32 37 0 07 Jun 2021
DISCO: accurate Discrete Scale Convolutions Ivan Sosnovik A. Moskalev A. Smeulders 26 31 0 04 Jun 2021
Truly shift-invariant convolutional neural networks Anadi Chaman Ivan Dokmanić 23 68 0 28 Nov 2020
Do CNNs Encode Data Augmentations? Eddie Q. Yan Yanping Huang OOD 20 5 0 29 Feb 2020
Scale-Equivariant Steerable Networks Li Xiao Michal Szmaja A. Smeulders 16 149 0 14 Oct 2019
Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation Hang Gao Xizhou Zhu Steve Lin Jifeng Dai 21 64 0 07 Oct 2019
Self-supervised Scale Equivariant Network for Weakly Supervised Semantic Segmentation Yude Wang Jie Zhang Meina Kan Shiguang Shan Xilin Chen 31 20 0 09 Sep 2019
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 3,541 0 20 Aug 2019
Dynamic Scale Inference by Entropy Minimization Dequan Wang Evan Shelhamer Bruno A. Olshausen Trevor Darrell 27 7 0 08 Aug 2019
Interaction-and-Aggregation Network for Person Re-identification Rui Hou Bingpeng Ma Hong Chang Xinqian Gu Shiguang Shan Xilin Chen 3DPC 45 340 0 19 Jul 2019
Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping Suhas Lohit Qiao Wang Pavan Turaga ViT 11 56 0 13 Jun 2019
Deep Scale-spaces: Equivariance Over Scale Daniel E. Worrall Max Welling BDL 24 166 0 28 May 2019
Blurring the Line Between Structure and Learning to Optimize and Adapt Receptive Fields Evan Shelhamer Dequan Wang Trevor Darrell 29 35 0 25 Apr 2019
Deep High-Resolution Representation Learning for Human Pose Estimation Ke Sun Bin Xiao Dong Liu Jingdong Wang 3DV 43 4,004 0 25 Feb 2019
A Progressively-trained Scale-invariant and Boundary-aware Deep Neural Network for the Automatic 3D Segmentation of Lung Lesions Bo Zhou Randolph Crawford B. Dogdas G. Goldmacher Antong Chen 32 13 0 11 Nov 2018
Deep Learning for Generic Object Detection: A Survey Li Liu Wanli Ouyang Xiaogang Wang Paul Fieguth Jie Chen Xinwang Liu M. Pietikäinen ObjD VLM OOD 77 2,427 0 06 Sep 2018
Deformable Convolutional Networks Jifeng Dai Haozhi Qi Yuwen Xiong Yi Li Guodong Zhang Han Hu Yichen Wei 104 5,262 0 17 Mar 2017
Learning Deep NBNN Representations for Robust Place Categorization Massimiliano Mancini Samuel Rota Buló Elisa Ricci Barbara Caputo 28 33 0 25 Feb 2017
Steerable CNNs Taco S. Cohen Max Welling BDL 63 493 0 27 Dec 2016
Master's Thesis : Deep Learning for Visual Recognition Rémi Cadène Nicolas Thome Matthieu Cord 39 4 0 18 Oct 2016
UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memory Iasonas Kokkinos SSeg SSL 50 670 0 07 Sep 2016
Universal Correspondence Network Chris Choy JunYoung Gwak Silvio Savarese Manmohan Chandraker 20 367 0 11 Jun 2016
Learning scale-variant and scale-invariant features for deep image classification Nanne van Noord E. Postma SSL 19 157 0 03 Feb 2016