Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors

28 September 2023

Anand Bhattad

David Forsyth

Papers citing "Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors"

43 / 43 papers shown

Title
LocalBins: Improving Depth Estimation by Learning Local Distributions S. Bhat Ibraheem Alhashim Peter Wonka MDE 48 100 0 28 Mar 2022
NeW CRFs: Neural Window Fully-connected CRFs for Monocular Depth Estimation Weihao Yuan Xiaodong Gu Zuozhuo Dai Siyu Zhu Ping Tan 57 179 0 03 Mar 2022
Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation Yuanyi Zhong Bodi Yuan Hong Wu Zhiqiang Yuan Jian Peng Yu-Xiong Wang 63 172 0 20 Aug 2021
PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in Clustering Jang Hyun Cho Utkarsh Mall Kavita Bala B. Hariharan 59 196 0 30 Mar 2021
Vision Transformers for Dense Prediction René Ranftl Alexey Bochkovskiy V. Koltun ViT MDE 125 1,729 0 24 Mar 2021
Efficient Visual Pretraining with Contrastive Detection Olivier J. Hénaff Skanda Koppula Jean-Baptiste Alayrac Aaron van den Oord Oriol Vinyals João Carreira VLM SSL 65 164 0 19 Mar 2021
E(n) Equivariant Graph Neural Networks Victor Garcia Satorras Emiel Hoogeboom Max Welling 92 997 0 19 Feb 2021
LieTransformer: Equivariant self-attention for Lie Groups M. Hutchinson Charline Le Lan Sheheryar Zaidi Emilien Dupont Yee Whye Teh Hyunjik Kim 92 111 0 20 Dec 2020
Learning to Recover 3D Scene Shape from a Single Image Wei Yin Jianming Zhang Oliver Wang Simon Niklaus Long Mai Simon Chen Chunhua Shen MDE 91 236 0 17 Dec 2020
Exploring Simple Siamese Representation Learning Xinlei Chen Kaiming He SSL 247 4,047 0 20 Nov 2020
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning Zhenda Xie Yutong Lin Zheng Zhang Yue Cao Stephen Lin Han Hu SSL 99 413 0 19 Nov 2020
Dense Contrastive Learning for Self-Supervised Visual Pre-Training Xinlong Wang Rufeng Zhang Chunhua Shen Tao Kong Lei Li SSL 72 683 0 18 Nov 2020
Learning from Scale-Invariant Examples for Domain Adaptation in Semantic Segmentation M.Naseer Subhani Mohsen Ali 46 69 0 28 Jul 2020
Surface Normal Estimation of Tilted Images via Spatial Rectifier Tien Do Khiem Vuong S. Roumeliotis H. Park 46 44 0 17 Jul 2020
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks F. Fuchs Daniel E. Worrall Volker Fischer Max Welling 3DPC 145 692 0 18 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 347 6,792 0 13 Jun 2020
Robust Learning Through Cross-Task Consistency Amir Zamir Alexander Sax Teresa Yeo Oğuzhan Fatih Kar Nikhil Cheerla Rohan Suri Zhangjie Cao Jitendra Malik Leonidas Guibas OOD 51 158 0 07 Jun 2020
Guiding Monocular Depth Estimation Using Depth-Attention Volume Lam Huynh Phong Nguyen-Ha Jirí Matas Esa Rahtu J. Heikkilä MDE 64 153 0 06 Apr 2020
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data Marc Finzi Samuel Stanton Pavel Izmailov A. Wilson 113 323 0 25 Feb 2020
General $E(2)$ -Equivariant Steerable CNNs Maurice Weiler Gabriele Cesa 91 524 0 19 Nov 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 179 12,065 0 13 Nov 2019
Scale-Equivariant Steerable Networks Li Xiao Michal Szmaja A. Smeulders 115 149 0 14 Oct 2019
Unsupervised Learning of Landmarks by Descriptor Vector Exchange James Thewlis Samuel Albanie Hakan Bilen Andrea Vedaldi SSL 68 67 0 18 Aug 2019
Enforcing geometric constraints of virtual normal for depth prediction Wei Yin Yifan Liu Chunhua Shen Youliang Yan 3DV MDE 112 427 0 29 Jul 2019
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer René Ranftl Katrin Lasinger David Hafner Konrad Schindler V. Koltun MDE 197 1,786 0 02 Jul 2019
Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness Fanny Yang Zuowen Wang C. Heinze-Deml 94 42 0 26 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 131 18,106 0 28 May 2019
Making Convolutional Networks Shift-Invariant Again Richard Y. Zhang OOD 89 797 0 25 Apr 2019
CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth José M. Fácil Benjamin Ummenhofer Huizhong Zhou Luis Montesano Thomas Brox Javier Civera MDE 126 139 0 03 Apr 2019
FrameNet: Learning Local Canonical Frames of 3D Surfaces from a Single RGB Image Jingwei Huang Yichao Zhou Thomas Funkhouser Leonidas Guibas 3DV 61 48 0 29 Mar 2019
Equivariant Transformer Networks Kai Sheng Tai Peter Bailis Gregory Valiant ViT 74 71 0 25 Jan 2019
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 205 314 0 05 Nov 2018
Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs R. Murphy Balasubramaniam Srinivasan Vinayak A. Rao Yun Liang 107 190 0 05 Nov 2018
Scale equivariance in CNNs with vector fields Diego Marcos B. Kellenberger Sylvain Lobry D. Tuia 77 56 0 31 Jul 2018
Universal approximations of invariant maps by neural networks Dmitry Yarotsky 117 213 0 26 Apr 2018
Taskonomy: Disentangling Task Transfer Learning Amir Zamir Alexander Sax Bokui (William) Shen Leonidas Guibas Jitendra Malik Silvio Savarese 114 1,217 0 23 Apr 2018
Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds Nathaniel Thomas Tess E. Smidt S. Kearnes Lusann Yang Li Li Kai Kohlhoff Patrick F. Riley 3DPC 82 969 0 22 Feb 2018
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups Risi Kondor Shubhendu Trivedi MLT 107 498 0 11 Feb 2018
Learning Steerable Filters for Rotation Equivariant CNNs Maurice Weiler Fred Hamprecht M. Storath 69 386 0 20 Nov 2017
ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes Angela Dai Angel X. Chang Manolis Savva Maciej Halber Thomas Funkhouser Matthias Nießner 3DPC 3DV 453 4,057 0 14 Feb 2017
Rotation equivariant vector field networks Diego Marcos Michele Volpi N. Komodakis D. Tuia 64 270 0 29 Dec 2016
Group Equivariant Convolutional Networks Taco S. Cohen Max Welling BDL 142 1,934 0 24 Feb 2016
Understanding image representations by measuring their equivariance and equivalence Karel Lenc Andrea Vedaldi SSL FAtt 109 531 0 21 Nov 2014