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J-GLOBAL ID:202402297641040627   Reference number:24A1401474

実時間物体追跡を用いた視覚的変化にロバストなロボットのVisuomotor方策獲得システム

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Volume: 41st  Page: ROMBUNNO.1K3-07  Publication year: 2023 
JST Material Number: L4867A  Document type: Proceedings
Article type: 短報  Country of issue: Japan (JPN)  Language: JAPANESE (JA)
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Motion and control of robots  ,  Artificial intelligence 
Reference (4):
  • Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin. Attention is all you need. Advances in neural information processing systems, Vol. 30, 2017.
  • Shilong Liu, Zhaoyang Zeng, Tianhe Ren, Feng Li, Hao Zhang, Jie Yang, Chunyuan Li, Jianwei Yang, Hang Su, Jun Zhu, et al. Grounding dino: Marrying dino with grounded pre-training for open-set object detection. arXiv preprint arXiv:2303.05499, 2023.
  • Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C Berg, Wan-Yen Lo, et al. Segment anything. arXiv preprint arXiv:2304.02643, 2023.
  • Ho Kei Cheng and Alexander G Schwing. Xmem: Long-term video object segmentation with an atkinson-shiffrin memory model. In European Conference on Computer Vision, pp. 640-658. Springer, 2022.
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