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pro vyhledávání: '"Bravo, María A."'
For most health or well-being interventions, the process of evaluation is distinct from the activity itself, both in terms of who is involved, and how the actual data is collected and analyzed. Tangible interaction affords the opportunity to combine
Externí odkaz:
http://arxiv.org/abs/2410.24036
Publikováno v:
International Symposium on Academic Makerspaces. 6 (2021)
CRAFT@Large (C@L) is an initiative launched by the MakerLAB at Cornell Tech to create an inclusive environment for the intercultural and intergenerational exchange of ideas through making. With our approach, we challenge the traditional definition of
Externí odkaz:
http://arxiv.org/abs/2410.23239
The evaluation of text-generative vision-language models is a challenging yet crucial endeavor. By addressing the limitations of existing Visual Question Answering (VQA) benchmarks and proposing innovative evaluation methodologies, our research seeks
Externí odkaz:
http://arxiv.org/abs/2402.07270
Autor:
Quintero-Rodríguez, Iván1 iquintero@uloyola.es, Pilar Colás-Bravo, María2 pcolas@us.es
Publikováno v:
Comunicar. oct2024, Vol. 32 Issue 79, p23-34. 12p.
Vision-language modeling has enabled open-vocabulary tasks where predictions can be queried using any text prompt in a zero-shot manner. Existing open-vocabulary tasks focus on object classes, whereas research on object attributes is limited due to t
Externí odkaz:
http://arxiv.org/abs/2211.12914
Detection of out-of-distribution (OoD) samples in the context of image classification has recently become an area of interest and active study, along with the topic of uncertainty estimation, to which it is closely related. In this paper we explore t
Externí odkaz:
http://arxiv.org/abs/2208.14195
In this work, we propose an open-vocabulary object detection method that, based on image-caption pairs, learns to detect novel object classes along with a given set of known classes. It is a two-stage training approach that first uses a location-guid
Externí odkaz:
http://arxiv.org/abs/2205.06160
Autor:
Sepúlveda, Felipe D., Cortes, Lorena A., Arancibia-Bravo, María P., Delgado, José, Lucay, Freddy A., Chacana, Carlos, Galleguillos, Felipe, Castellón, Cesar
Publikováno v:
In Minerals Engineering December 2024 219
Publikováno v:
In Cities November 2024 154
Publikováno v:
Supply Chain Management: An International Journal, 2023, Vol. 28, Issue 7, pp. 112-128.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/SCM-05-2023-0274