ResearchDoom and CocoDoom: Learning Computer Vision with Games

ResearchDoom and CocoDoom: Learning Computer Vision with Games

7 October 2016

Aravindh Mahendran

J. F. Henriques

A. Vedaldi

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Papers citing "ResearchDoom and CocoDoom: Learning Computer Vision with Games"

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Title
MulT: An End-to-End Multitask Learning Transformer Deblina Bhattacharjee Tong Zhang Sabine Süsstrunk Mathieu Salzmann ViT 116 68 0 17 May 2022
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 65 158 0 07 Jun 2020
The RobotriX: An eXtremely Photorealistic and Very-Large-Scale Indoor Dataset of Sequences with Robot Trajectories and Interactions Alberto Garcia-Garcia P. Martinez-Gonzalez Sergiu Oprea John Alejandro Castro-Vargas Sergio Orts Jose Garcia-Rodriguez Alvaro Jover-Alvarez VGen 80 34 0 19 Jan 2019
Show, Attend and Translate: Unsupervised Image Translation with Self-Regularization and Attention Chao Yang Taehwan Kim Ruizhe Wang Hao Peng C.-C. Jay Kuo 90 51 0 16 Jun 2018
Experience enrichment based task independent reward model Min Xu OffRL 31 0 0 21 May 2017
ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond Siyuan Qiao Wei Shen Weichao Qiu Chenxi Liu Alan Yuille 59 37 0 22 Apr 2017
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks Konstantinos Bousmalis N. Silberman David Dohan D. Erhan Dilip Krishnan OOD GAN 167 1,537 0 16 Dec 2016
DeepMind Lab Charlie Beattie Joel Z Leibo Denis Teplyashin Tom Ward Marcus Wainwright ... Stephen Gaffney Helen King Demis Hassabis Shane Legg Stig Petersen 58 241 0 12 Dec 2016