Web: http://arxiv.org/abs/2201.11547

Jan. 28, 2022, 2:10 a.m. | Koteswar Rao Jerripothula, Prerana Mukherjee

cs.CV updates on arXiv.org arxiv.org

The primary goal of this paper is to localize objects in a group of
semantically similar images jointly, also known as the object co-localization
problem. Most related existing works are essentially weakly-supervised, relying
prominently on the neighboring images' weak-supervision. Although weak
supervision is beneficial, it is not entirely reliable, for the results are
quite sensitive to the neighboring images considered. In this paper, we combine
it with a self-awareness phenomenon to mitigate this issue. By self-awareness
here, we refer to …

arxiv cv localization

Director, Data Science (Advocacy & Nonprofit)

@ Civis Analytics | Remote

Data Engineer

@ Rappi | [CO] Bogotá

Data Scientist V, Marketplaces Personalization (Remote)

@ ID.me | United States (U.S.)

Product OPs Data Analyst (Flex/Remote)

@ Scaleway | Paris

Big Data Engineer

@ Risk Focus | Riga, Riga, Latvia

Internship Program: Machine Learning Backend

@ Nextail | Remote job