all AI news
Embodied vision for learning object representations. (arXiv:2205.06198v1 [cs.LG])
Web: http://arxiv.org/abs/2205.06198
May 13, 2022, 1:11 a.m. | Arthur Aubret, Céline Teulière, Jochen Triesch
cs.LG updates on arXiv.org arxiv.org
Recent time-contrastive learning approaches manage to learn invariant object
representations without supervision. This is achieved by mapping successive
views of an object onto close-by internal representations. When considering
this learning approach as a model of the development of human object
recognition, it is important to consider what visual input a toddler would
typically observe while interacting with objects. First, human vision is highly
foveated, with high resolution only available in the central region of the
field of view. Second, objects …
More from arxiv.org / cs.LG updates on arXiv.org
GUARD: Graph Universal Adversarial Defense. (arXiv:2204.09803v2 [cs.LG] UPDATED)
2 days, 20 hours ago |
arxiv.org
Latest AI/ML/Big Data Jobs
Data Analyst, Patagonia Action Works
@ Patagonia | Remote
Data & Insights Strategy & Innovation General Manager
@ Chevron Services Company, a division of Chevron U.S.A Inc. | Houston, TX
Faculty members in Research areas such as Bayesian and Spatial Statistics; Data Privacy and Security; AI/ML; NLP; Image and Video Data Analysis
@ Ahmedabad University | Ahmedabad, India
Director, Applied Mathematics & Computational Research Division
@ Lawrence Berkeley National Lab | Berkeley, Ca
Business Data Analyst
@ MainStreet Family Care | Birmingham, AL
Assistant/Associate Professor of the Practice in Business Analytics
@ Georgetown University McDonough School of Business | Washington DC