神龟加速器会员

神龟加速器会员

Mohit Shridhar Jesse Thomason Daniel Gordon 免费翻国外墙的app
Winson Han Roozbeh Mottaghi Luke Zettlemoyer Dieter Fox

ssr加速器官网 (Action Learning From Realistic Environments and Directives), is a new benchmark for learning a mapping from natural language instructions and egocentric vision to sequences of actions for household tasks. Long composition rollouts with non-reversible state changes are among the phenomena we include to shrink the gap between research benchmarks and real-world applications.

Paper on ArXiv» 免费翻国外墙的app Simulator» ECCV Challenge»

@inproceedings{ALFRED20,
  title ={{ALFRED: A Benchmark for Interpreting Grounded
           Instructions for Everyday Tasks}},
  author={Mohit Shridhar and Jesse Thomason and
          Daniel Gordon and Yonatan Bisk and
          Winson Han and Roozbeh Mottaghi and
          Luke Zettlemoyer and Dieter Fox},
  booktitle = {The IEEE Conference on Computer Vision
              and Pattern Recognition (CVPR)},
  year = {2024},
  url  = {http://arxiv.org/abs/1912.01734}
}