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TI-POOLING: transformation-invariant pooling for feature learning in Convolutional Neural Networks

21 April 2016

Marc Pollefeys

Papers citing "TI-POOLING: transformation-invariant pooling for feature learning in Convolutional Neural Networks"

50 / 122 papers shown

Title
A Regularization-Guided Equivariant Approach for Image Restoration Yulu Bai J. Fu Qi Xie Deyu Meng 25 0 0 26 May 2025
Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts Zekun Wang Sashank Varma 43 0 0 19 May 2025
Spectral State Space Model for Rotation-Invariant Visual Representation Learning Sahar Dastani Ali Bahri Moslem Yazdanpanah Mehrdad Noori David Osowiechi ... Farzad Beizaee Milad Cheraghalikhani A. Mondal H. Lombaert Christian Desrosiers 158 0 0 09 Mar 2025
Towards Invariance to Node Identifiers in Graph Neural Networks Maya Bechler-Speicher Moshe Eliasof Carola-Bibiane Schönlieb Ran Gilad-Bachrach Amir Globerson 184 4 0 20 Feb 2025
On the Utilization of Unique Node Identifiers in Graph Neural Networks Maya Bechler-Speicher Moshe Eliasof Carola-Bibiane Schönlieb Ran Gilad-Bachrach Amir Globerson 64 0 0 04 Nov 2024
PreCM: The Padding-based Rotation Equivariant Convolution Mode for Semantic Segmentation Xinyu Xu Huazhen Liu Huilin Xiong Wenhao Yu Tao Zhang 222 0 0 03 Nov 2024
A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning Minyoung Kim Timothy M. Hospedales BDL 115 0 0 14 Oct 2024
Steerable Transformers for Volumetric Data Soumyabrata Kundu Risi Kondor LLMSV ViT 114 1 0 24 May 2024
Enhancing lattice kinetic schemes for fluid dynamics with Lattice-Equivariant Neural Networks Giulio Ortali Alessandro Gabbana Imre Atmodimedjo Alessandro Corbetta AI4CE 89 1 0 22 May 2024
Achieving Rotation Invariance in Convolution Operations: Shifting from Data-Driven to Mechanism-Assured Hanlin Mo Guoying Zhao OOD 61 0 0 17 Apr 2024
Efficient Rotation Invariance in Deep Neural Networks through Artificial Mental Rotation Lukas Tuggener Thilo Stadelmann Jürgen Schmidhuber OOD 45 1 0 14 Nov 2023
Revisiting Data Augmentation for Rotational Invariance in Convolutional Neural Networks F. Quiroga Franco Ronchetti Laura Lanzarini A. F. Bariviera 64 36 0 12 Oct 2023
Orientation-Independent Chinese Text Recognition in Scene Images Haiyang Yu Xiaocong Wang Bin Li Xiangyang Xue 60 5 0 03 Sep 2023
DUET: 2D Structured and Approximately Equivariant Representations Xavier Suau Federico Danieli Thomas Anderson Keller Arno Blaas Chen Huang Jason Ramapuram Dan Busbridge Luca Zappella 58 3 0 28 Jun 2023
Group Invariant Global Pooling Kamil Bujel Yonatan Gideoni Chaitanya K. Joshi Pietro Lio 62 0 0 30 May 2023
Sorted Convolutional Network for Achieving Continuous Rotational Invariance Hanlin Mo Guoying Zhao 42 0 0 23 May 2023
Subspace-Configurable Networks Dong Wang O. Saukh Xiaoxi He Lothar Thiele OOD 82 0 0 22 May 2023
BEVPlace: Learning LiDAR-based Place Recognition using Bird's Eye View Images L. Luo Shuhang Zheng Yixuan Li Y. Fan B. Yu Sixi Cao Hui-Liang Shen 3DPC 70 44 0 28 Feb 2023
Steerable Equivariant Representation Learning Sangnie Bhardwaj Willie McClinton Tongzhou Wang Guillaume Lajoie Chen Sun Phillip Isola Dilip Krishnan OOD LLMSV 64 5 0 22 Feb 2023
Robust Perception through Equivariance Chengzhi Mao Lingyu Zhang Abhishek Joshi Junfeng Yang Hongya Wang Carl Vondrick BDL AAML 88 8 0 12 Dec 2022
Transformation-Equivariant 3D Object Detection for Autonomous Driving Hai Wu Chenglu Wen Wei Li Xin Li Ruigang Yang Cheng-i Wang 3DPC 94 90 0 22 Nov 2022
RIC-CNN: Rotation-Invariant Coordinate Convolutional Neural Network Hanlin Mo Guoying Zhao 81 34 0 21 Nov 2022
A PAC-Bayesian Generalization Bound for Equivariant Networks Arash Behboodi Gabriele Cesa Taco S. Cohen 88 19 0 24 Oct 2022
The Lie Derivative for Measuring Learned Equivariance Nate Gruver Marc Finzi Micah Goldblum A. Wilson 92 40 0 06 Oct 2022
A Simple Strategy to Provable Invariance via Orbit Mapping Kanchana Vaishnavi Gandikota Jonas Geiping Zorah Lähner Adam Czapliñski Michael Moeller AAML 3DPC 67 3 0 24 Sep 2022
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 38 9 0 01 Aug 2022
Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities Julian Bitterwolf Alexander Meinke Maximilian Augustin Matthias Hein OODD 112 27 0 20 Jun 2022
Equivariance Discovery by Learned Parameter-Sharing Raymond A. Yeh Yuan-Ting Hu M. Hasegawa-Johnson Alex Schwing FedML 71 15 0 07 Apr 2022
LEAD: Self-Supervised Landmark Estimation by Aligning Distributions of Feature Similarity Tejan Karmali Abhinav Atrishi Sai Sree Harsha Susmit Agrawal Varun Jampani R. Venkatesh Babu SSL 141 5 0 06 Apr 2022
Resource-Efficient Invariant Networks: Exponential Gains by Unrolled Optimization Sam Buchanan Jingkai Yan Ellie Haber John N. Wright 53 3 0 09 Mar 2022
RIConv++: Effective Rotation Invariant Convolutions for 3D Point Clouds Deep Learning Zhiyuan Zhang Binh-Son Hua Sai-Kit Yeung 3DPC 84 49 0 26 Feb 2022
RRL:Regional Rotation Layer in Convolutional Neural Networks Zongbo Hao Tao Zhang MingWang Chen Kaixuan Zhou 49 2 0 25 Feb 2022
Improving the Sample-Complexity of Deep Classification Networks with Invariant Integration M. Rath Alexandru Paul Condurache 59 8 0 08 Feb 2022
OneDConv: Generalized Convolution For Transform-Invariant Representation Tong Zhang Haohan Weng Ke Yi Chong Chen 30 0 0 15 Jan 2022
Implicit Equivariance in Convolutional Networks Naman Khetan Tushar Arora S. U. Rehman D. K. Gupta 83 5 0 28 Nov 2021
Wiggling Weights to Improve the Robustness of Classifiers Sadaf Gulshad Ivan Sosnovik A. Smeulders OOD 47 0 0 18 Nov 2021
Sampling Equivariant Self-attention Networks for Object Detection in Aerial Images Guo-Ye Yang Xiang-Li Li Ralph Robert Martin Shimin Hu 3DPC 56 13 0 05 Nov 2021
Deep Learning for UAV-based Object Detection and Tracking: A Survey Chao Xu Wei Li Danfeng Hong R. Tao Yong Liu 104 194 0 25 Oct 2021
Anti-aliasing Deep Image Classifiers using Novel Depth Adaptive Blurring and Activation Function Md Tahmid Hossain S. Teng Ferdous Sohel Guojun Lu 76 13 0 03 Oct 2021
Nonlinearities in Steerable SO(2)-Equivariant CNNs Daniel Franzen Michael Wand 74 3 0 14 Sep 2021
Designing Rotationally Invariant Neural Networks from PDEs and Variational Methods Tobias Alt Karl Schrader Joachim Weickert Pascal Peter M. Augustin 71 4 0 31 Aug 2021
Fourier Series Expansion Based Filter Parametrization for Equivariant Convolutions Qi Xie Qian Zhao Zongben Xu Deyu Meng 87 22 0 30 Jul 2021
Geometric Data Augmentation Based on Feature Map Ensemble Takashi Shibata Masayuki Tanaka Masatoshi Okutomi 57 0 0 22 Jul 2021
Training or Architecture? How to Incorporate Invariance in Neural Networks Kanchana Vaishnavi Gandikota Jonas Geiping Zorah Lähner Adam Czapliñski Michael Moeller 3DPC OOD 61 10 0 18 Jun 2021
Equivariance-bridged SO(2)-Invariant Representation Learning using Graph Convolutional Network Sungwon Hwang Hyungtae Lim Hyun Myung 40 2 0 18 Jun 2021
Mean Embeddings with Test-Time Data Augmentation for Ensembling of Representations Arsenii Ashukha Andrei Atanov Dmitry Vetrov OOD FedML 74 6 0 15 Jun 2021
Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scales Ylva Jansson T. Lindeberg 91 24 0 11 Jun 2021
Rotating spiders and reflecting dogs: a class conditional approach to learning data augmentation distributions Scott Mahan Henry Kvinge T. Doster OOD 13 3 0 07 Jun 2021
FILTRA: Rethinking Steerable CNN by Filter Transform Yue Liu Qili Wang G. Lee 39 4 0 25 May 2021
Rotation invariant CNN using scattering transform for image classification Rosemberg Rodriguez Eva Dokládalová P. Dokládal 55 17 0 21 May 2021