Regularized denoising masked visual pretraining for robust embodied pointgoal navigation

HIGHLIGHTS

  • who: Jie Peng and collaborators from the Institute of Microelectronics of the Chinese Academy of Sciences, Beijing, ChinaUniversity of Chinese Academy of Sciences, Beijing, China have published the article: Regularized Denoising Masked Visual Pretraining for Robust Embodied PointGoal Navigation, in the Journal: Sensors 2023, 23, 3553. of /2023/
  • what: To improve the robustness of embodied navigation agents to various visual corruptions the authors propose a navigation framework called Denoising Masked AutoEncoders Navigation (RDMAE-Nav). The authors design a novel pretraining method, dubbed RDMAE, which introduces a regularization term for a denoising masked modeling task. Most . . .

     

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