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

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"

6 / 6 papers shown

Title
Mitigating Perspective Distortion-induced Shape Ambiguity in Image Crops Aditya Prakash Arjun Gupta Saurabh Gupta 19 3 0 11 Dec 2023
A Simple Strategy to Provable Invariance via Orbit Mapping Kanchana Vaishnavi Gandikota Jonas Geiping Zorah Lähner Adam Czapliñski Michael Moeller AAML 3DPC 13 3 0 24 Sep 2022
Time-Equivariant Contrastive Video Representation Learning Simon Jenni Hailin Jin SSL AI4TS 130 60 0 07 Dec 2021
Frame Averaging for Invariant and Equivariant Network Design Omri Puny Matan Atzmon Heli Ben-Hamu Ishan Misra Aditya Grover Edward James Smith Y. Lipman FedML 33 126 0 07 Oct 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 292 5,761 0 29 Apr 2021
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 149 308 0 05 Nov 2018