How useful is photo-realistic rendering for visual learning?

26 March 2016

Yair Movshovitz-Attias

Papers citing "How useful is photo-realistic rendering for visual learning?"

21 / 21 papers shown

Title
VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception Zhaoliang Wan Yonggen Ling Senlin Yi Lu Qi Wangwei Lee ... Xiao Teng Peng Lu Xu Yang Ming Yang Hui Cheng 45 4 0 31 Dec 2024
Improving Object Detection by Modifying Synthetic Data with Explainable AI Nitish Mital Simon Malzard Richard Walters Celso M. De Melo Raghuveer Rao Victoria Nockles 77 0 0 02 Dec 2024
Scaling Law of Sim2Real Transfer Learning in Expanding Computational Materials Databases for Real-World Predictions Shunya Minami Yoshihiro Hayashi Stephen Wu Kenji Fukumizu Hiroki Sugisawa Masashi Ishii Isao Kuwajima Kazuya Shiratori Ryo Yoshida AI4CE 29 0 0 07 Aug 2024
Prediction of Scene Plausibility O. Nachmias Ohad Fried Ariel Shamir 3DV 21 0 0 02 Dec 2022
CAD2Render: A Modular Toolkit for GPU-accelerated Photorealistic Synthetic Data Generation for the Manufacturing Industry Steven Moonen Bram Vanherle Joris de Hoog T. Bourgana A. Bey-Temsamani Nick Michiels 17 14 0 25 Nov 2022
RGB-X Classification for Electronics Sorting Abhimanyu Fnu T. Zodage Umesh Thillaivasan Xinyue Lai Rahul Chakwate ... E. Oti Ming Zhao Ralph Boirum Howie Choset Matthew Travers 24 1 0 08 Sep 2022
Information Gain Sampling for Active Learning in Medical Image Classification Raghav Mehta Changjian Shui Brennan Nichyporuk Tal Arbel 19 5 0 01 Aug 2022
A Scaling Law for Synthetic-to-Real Transfer: How Much Is Your Pre-training Effective? Hiroaki Mikami Kenji Fukumizu Shogo Murai Shuji Suzuki Yuta Kikuchi Taiji Suzuki S. Maeda Kohei Hayashi 40 12 0 25 Aug 2021
Learning from scarce information: using synthetic data to classify Roman fine ware pottery Santos J. Núñez Jareño Daniël P. van Helden Evgeny M. Mirkes I. Tyukin Penelope Allison 37 5 0 03 Jul 2021
Pre-training without Natural Images Hirokatsu Kataoka Kazushige Okayasu Asato Matsumoto Eisuke Yamagata Ryosuke Yamada Nakamasa Inoue Akio Nakamura Y. Satoh 79 116 0 21 Jan 2021
Cut-and-Paste Dataset Generation for Balancing Domain Gaps in Object Instance Detection Woo-han Yun Taewoo Kim Jaeyeon Lee Jaehong Kim Junmo Kim 21 1 0 26 Sep 2019
Synthetic Data for Deep Learning Sergey I. Nikolenko 46 348 0 25 Sep 2019
Synthetic Data Generation and Adaption for Object Detection in Smart Vending Machines Kai Wang Fuyuan Shi Wenqi Wang Yibing Nan Shiguo Lian 17 12 0 28 Apr 2019
Spatial Fusion GAN for Image Synthesis Fangneng Zhan Hongyuan Zhu Shijian Lu 19 149 0 14 Dec 2018
CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation Radek Mackowiak Philip Lenz Omair Ghori Ferran Diego O. Lange Carsten Rother 31 108 0 23 Oct 2018
On the Importance of Visual Context for Data Augmentation in Scene Understanding Nikita Dvornik Julien Mairal Cordelia Schmid 24 84 0 06 Sep 2018
Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer Hsueh-Ti Derek Liu Michael Tao Chun-Liang Li Derek Nowrouzezahrai Alec Jacobson AAML 33 13 0 08 Aug 2018
Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection Debidatta Dwibedi Ishan Misra M. Hebert 28 617 0 04 Aug 2017
A Self-supervised Learning System for Object Detection using Physics Simulation and Multi-view Pose Estimation Chaitanya Mitash Kostas E. Bekris Abdeslam Boularias 16 116 0 09 Mar 2017
From Virtual to Real World Visual Perception using Domain Adaptation -- The DPM as Example Antonio M. López Jiaolong Xu J. L. Gómez David Vazquez G. Ros 17 11 0 29 Dec 2016
Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks Yinda Zhang Shuran Song Ersin Yumer Manolis Savva Joon-Young Lee Hailin Jin Thomas Funkhouser AI4CE SSL 3DV 3DPC 17 259 0 22 Dec 2016