Understanding image representations by measuring their equivariance and equivalence

21 November 2014

Andrea Vedaldi

Papers citing "Understanding image representations by measuring their equivariance and equivalence"

50 / 113 papers shown

Title
SIRfyN: Single Image Relighting from your Neighbors David A. Forsyth Anand Bhattad P. Asthana Yuanyi Zhong Yuxiong Wang 31 3 0 08 Dec 2021
Time-Equivariant Contrastive Video Representation Learning Simon Jenni Hailin Jin SSL AI4TS 143 60 0 07 Dec 2021
Implicit Equivariance in Convolutional Networks Naman Khetan Tushar Arora S. U. Rehman D. K. Gupta 36 4 0 28 Nov 2021
Quantised Transforming Auto-Encoders: Achieving Equivariance to Arbitrary Transformations in Deep Networks Jianbo Jiao João F. Henriques BDL OOD MQ 17 2 0 25 Nov 2021
Equivariant Contrastive Learning Rumen Dangovski Li Jing Charlotte Loh Seung-Jun Han Akash Srivastava Brian Cheung Pulkit Agrawal Marin Soljacic 50 77 0 28 Oct 2021
Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs Philipp Benz Soomin Ham Chaoning Zhang Adil Karjauv In So Kweon AAML ViT 52 79 0 06 Oct 2021
Turing approximations, toric isometric embeddings & manifold convolutions P. Suárez-Serrato 26 1 0 05 Oct 2021
Combining Physics and Deep Learning to learn Continuous-Time Dynamics Models M. Lutter Jan Peters PINN AI4CE 45 39 0 05 Oct 2021
Long Short View Feature Decomposition via Contrastive Video Representation Learning Nadine Behrmann Mohsen Fayyaz Juergen Gall M. Noroozi 18 36 0 23 Sep 2021
Learning Disentangled Representations in the Imaging Domain Xiao Liu Pedro Sanchez Spyridon Thermos Alison Q. OÑeil Sotirios A. Tsaftaris OOD DRL 34 71 0 26 Aug 2021
Circular-Symmetric Correlation Layer based on FFT Bahar Azari Deniz Erdogmus 36 1 0 26 Jul 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey Rui Wang Rose Yu AI4CE PINN 46 65 0 02 Jul 2021
Revisiting Model Stitching to Compare Neural Representations Yamini Bansal Preetum Nakkiran Boaz Barak FedML 49 107 0 14 Jun 2021
Symmetry reduction for deep reinforcement learning active control of chaotic spatiotemporal dynamics Kevin Zeng M. Graham AI4CE 18 22 0 09 Apr 2021
Equivariant Imaging: Learning Beyond the Range Space Dongdong Chen Julián Tachella Mike E. Davies SSL 34 95 0 26 Mar 2021
Self-Supervised Multi-View Learning via Auto-Encoding 3D Transformations Xiang Gao Wei Hu Guo-Jun Qi 37 6 0 01 Mar 2021
Robust Representation Learning with Feedback for Single Image Deraining Chenghao Chen Hao Li 27 80 0 29 Jan 2021
Intrinsic Image Decomposition using Paradigms David A. Forsyth Jason Rock 27 24 0 20 Nov 2020
A Sober Look at the Unsupervised Learning of Disentangled Representations and their Evaluation Francesco Locatello Stefan Bauer Mario Lucic Gunnar Rätsch Sylvain Gelly Bernhard Schölkopf Olivier Bachem OOD 17 66 0 27 Oct 2020
Trajectory Prediction using Equivariant Continuous Convolution Robin Walters Jinxi Li Rose Yu 26 44 0 21 Oct 2020
Contextual Semantic Interpretability Diego Marcos Ruth C. Fong Sylvain Lobry Rémi Flamary Nicolas Courty D. Tuia SSL 25 27 0 18 Sep 2020
360-Degree Gaze Estimation in the Wild Using Multiple Zoom Scales Ashesh Mishra Chu-Song Chen Hsuan-Tien Lin 14 7 0 15 Sep 2020
CyCNN: A Rotation Invariant CNN using Polar Mapping and Cylindrical Convolution Layers Jinpyo Kim Wookeun Jung Hyungmo Kim Jaejin Lee 11 31 0 21 Jul 2020
PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions Zhengyang Shen Lingshen He Zhouchen Lin Jinwen Ma 17 44 0 20 Jul 2020
Where am I looking at? Joint Location and Orientation Estimation by Cross-View Matching Yujiao Shi Xin Yu Dylan Campbell Hongdong Li 14 167 0 08 May 2020
NullSpaceNet: Nullspace Convoluional Neural Network with Differentiable Loss Function Mohamed H. Abdelpakey M. Shehata 3DPC 21 1 0 25 Apr 2020
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location O. Kayhan Jan van Gemert 216 233 0 16 Mar 2020
Incorporating Symmetry into Deep Dynamics Models for Improved Generalization Rui Wang Robin Walters Rose Yu AI4CE 54 170 0 08 Feb 2020
Perturbations are not Enough: Generating Adversarial Examples with Spatial Distortions He Zhao Trung Le Paul Montague O. Vel Tamas Abraham Dinh Q. Phung AAML 28 8 0 03 Oct 2019
CNN-based RGB-D Salient Object Detection: Learn, Select and Fuse Hao Chen Youfu Li ObjD 24 23 0 20 Sep 2019
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset Muhammad Waleed Gondal Manuel Wüthrich Ðorðe Miladinovic Francesco Locatello M. Breidt V. Volchkov J. Akpo Olivier Bachem Bernhard Schölkopf Stefan Bauer OOD DRL 33 134 0 07 Jun 2019
Let's Agree to Agree: Neural Networks Share Classification Order on Real Datasets Guy Hacohen Leshem Choshen D. Weinshall AI4TS OOD 22 56 0 26 May 2019
Disentangling Factors of Variation Using Few Labels Francesco Locatello Michael Tschannen Stefan Bauer Gunnar Rätsch Bernhard Schölkopf Olivier Bachem DRL CML CoGe 34 123 0 03 May 2019
Image Disentanglement and Uncooperative Re-Entanglement for High-Fidelity Image-to-Image Translation Adam W. Harley S. Wei Jason M. Saragih Katerina Fragkiadaki 27 5 0 11 Jan 2019
Learning Compressed Transforms with Low Displacement Rank Anna T. Thomas Albert Gu Tri Dao Atri Rudra Christopher Ré 27 40 0 04 Oct 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
Rotation Equivariant CNNs for Digital Pathology Bastiaan S. Veeling J. Linmans Jim Winkens Taco S. Cohen Max Welling 47 564 0 08 Jun 2018
Why do deep convolutional networks generalize so poorly to small image transformations? Aharon Azulay Yair Weiss 37 557 0 30 May 2018
Land cover mapping at very high resolution with rotation equivariant CNNs: towards small yet accurate models Diego Marcos Michele Volpi B. Kellenberger D. Tuia 25 237 0 16 Mar 2018
Disentangling by Factorising Hyunjik Kim A. Mnih CoGe OOD 12 1,328 0 16 Feb 2018
Geometric robustness of deep networks: analysis and improvement Can Kanbak Seyed-Mohsen Moosavi-Dezfooli P. Frossard OOD AAML 44 130 0 24 Nov 2017
Learning SO(3) Equivariant Representations with Spherical CNNs Carlos Esteves Christine Allen-Blanchette A. Makadia Kostas Daniilidis 65 510 0 17 Nov 2017
Neural network an1alysis of sleep stages enables efficient diagnosis of narcolepsy Jens B. Stephansen A. N. Olesen Mads Olsen A. Ambati E. Leary ... C. Kushida P. Peppard H. Sørensen P. Jennum Emmanuel Mignot 38 221 0 05 Oct 2017
Polar Transformer Networks Carlos Esteves Christine Allen-Blanchette Xiaowei Zhou Kostas Daniilidis ViT 34 184 0 06 Sep 2017
Image Projective Invariants Erbo Li Hanlin Mo Dong Xu Hua Li 21 22 0 19 Jul 2017
DeepCorrect: Correcting DNN models against Image Distortions Tejas S. Borkar Lina Karam 27 93 0 05 May 2017
Deformable Convolutional Networks Jifeng Dai Haozhi Qi Yuwen Xiong Yi Li Guodong Zhang Han Hu Yichen Wei 119 5,262 0 17 Mar 2017
Visual Saliency Prediction Using a Mixture of Deep Neural Networks Samuel F. Dodge Lina Karam FAtt 37 48 0 01 Feb 2017
Universal representations:The missing link between faces, text, planktons, and cat breeds Hakan Bilen Andrea Vedaldi 38 147 0 25 Jan 2017
Rotation equivariant vector field networks Diego Marcos Michele Volpi N. Komodakis D. Tuia 28 266 0 29 Dec 2016