Generating Explanations for Embodied Action Decision from Visual Observation

Author:

Wang Xiaohan1ORCID,Liu Yuehu1ORCID,Song Xinhang2ORCID,Wang Beibei1ORCID,Jiang Shuqiang2ORCID

Affiliation:

1. Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China

2. Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China

Funder

National Key Research and Development Project of New Generation Artificial Intelligence of China

Publisher

ACM

Reference37 articles.

1. Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments

2. Shane Barratt . 2017 . Interpnet: Neural introspection for interpretable deep learning. arXiv preprint arXiv:1710.09511 (2017). Shane Barratt. 2017. Interpnet: Neural introspection for interpretable deep learning. arXiv preprint arXiv:1710.09511 (2017).

3. Or Biran and Kathleen McKeown . 2014 . Justification narratives for individual classifications . In Proceedings of the AutoML workshop at ICML , Vol. 2014 . 1--7. Or Biran and Kathleen McKeown. 2014. Justification narratives for individual classifications. In Proceedings of the AutoML workshop at ICML, Vol. 2014. 1--7.

4. Angel Chang , Angela Dai , Thomas Funkhouser , Maciej Halber , Matthias Niessner , Manolis Savva , Shuran Song , Andy Zeng , and Yinda Zhang . 2017. Matterport3d: Learning from rgb-d data in indoor environments. arXiv preprint arXiv:1709.06158 ( 2017 ). Angel Chang, Angela Dai, Thomas Funkhouser, Maciej Halber, Matthias Niessner, Manolis Savva, Shuran Song, Andy Zeng, and Yinda Zhang. 2017. Matterport3d: Learning from rgb-d data in indoor environments. arXiv preprint arXiv:1709.06158 (2017).

5. Meshed-Memory Transformer for Image Captioning

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