Zobrazeno 1 - 10
of 1 013
pro vyhledávání: '"Shibata Takashi"'
The pre-trained vision and language (V\&L) models have substantially improved the performance of cross-modal image-text retrieval. In general, however, V\&L models have limited retrieval performance for small objects because of the rough alignment be
Externí odkaz:
http://arxiv.org/abs/2407.12346
We investigate the chemical evolution of complex organic molecules (COMs) in turbulent disks using gas-ice chemical reaction network simulations. We trace trajectories of dust particles considering advection, turbulent diffusion, gas drag, and vertic
Externí odkaz:
http://arxiv.org/abs/2406.17367
Automating long-horizon tasks with a robotic arm has been a central research topic in robotics. Optimization-based action planning is an efficient approach for creating an action plan to complete a given task. Construction of a reliable planning meth
Externí odkaz:
http://arxiv.org/abs/2404.03415
Ethical and privacy issues inherent in artificial intelligence (AI) applications have been a growing concern with the rapid spread of deep learning. Machine unlearning (MU) is the research area that addresses these issues by making a trained AI model
Externí odkaz:
http://arxiv.org/abs/2306.05670
Autor:
Nitta, Yuto1 (AUTHOR), Shibata, Takashi1 (AUTHOR) shibatanz@nifty.com, Kato, Hiroki1 (AUTHOR), Nakago, Satoshi1 (AUTHOR)
Publikováno v:
Clinical Case Reports. Aug2024, Vol. 12 Issue 8, p1-4. 4p.
In the standard scenario of planet formation, terrestrial planets, ice giants, and cores of gas giants are formed by the accumulation of planetesimals. However, there are few N-body simulation studies of planetesimal accretion that correctly take int
Externí odkaz:
http://arxiv.org/abs/2108.08880
Publikováno v:
In Epilepsy Research May 2024 202
The combined use of multiple modalities enables accurate pedestrian detection under poor lighting conditions by using the high visibility areas from these modalities together. The vital assumption for the combination use is that there is no or only a
Externí odkaz:
http://arxiv.org/abs/2107.11196
Deep convolutional networks have become the mainstream in computer vision applications. Although CNNs have been successful in many computer vision tasks, it is not free from drawbacks. The performance of CNN is dramatically degraded by geometric tran
Externí odkaz:
http://arxiv.org/abs/2107.10524
Many variants of unsupervised domain adaptation (UDA) problems have been proposed and solved individually. Its side effect is that a method that works for one variant is often ineffective for or not even applicable to another, which has prevented pra
Externí odkaz:
http://arxiv.org/abs/2106.01656