Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Carola Figueroa-Flores"'
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
The limited availability of information on Chilean native flora has resulted in a lack of knowledge among the general public, and the classification of these plants poses challenges without extensive expertise. This study evaluates the performance of
Externí odkaz:
https://doaj.org/article/f4b54ff9de0946469540dc20ad285a80
Publikováno v:
Agriculture, Vol 14, Iss 1, p 18 (2023)
In blueberry farming, accurately assessing maturity is critical to efficient harvesting. Deep Learning solutions, which are increasingly popular in this area, often undergo evaluation through metrics like mean average precision (mAP). However, these
Externí odkaz:
https://doaj.org/article/0ee88012f62a4455a8c76c2febe77ec7
Autor:
Carola Figueroa-Flores
Publikováno v:
Vision Sensors-Recent Advances
Vision Sensors-Recent Advances ISBN: 9781837699872
Vision Sensors-Recent Advances ISBN: 9781837699872
Most of the saliency methods are evaluated for their ability to generate saliency maps, and not for their functionality in a complete vision pipeline, for instance, image classification or salient object subitizing. In this work, we introduce salienc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5fc482c16fe0bf827c6bd62c76487440
https://mts.intechopen.com/articles/show/title/saliency-detection-from-subitizing-processing
https://mts.intechopen.com/articles/show/title/saliency-detection-from-subitizing-processing
Autor:
Carola Figueroa-Flores
Publikováno v:
2022 XVLIII Latin American Computer Conference (CLEI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f17bae02ed8bb563c6618d08713eed7
https://doi.org/10.1109/clei56649.2022.9959963
https://doi.org/10.1109/clei56649.2022.9959963
Publikováno v:
Pattern Recognition. 94:62-73
This paper investigates the role of saliency to improve the classification accuracy of a Convolutional Neural Network (CNN) for the case when scarce training data is available. Our approach consists in adding a saliency branch to an existing CNN arch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83c2314dbe459fa445d1b9e72d6498e1
https://doi.org/10.1016/j.patcog.2019.05.002
https://doi.org/10.1016/j.patcog.2019.05.002
Saliency is the perceptual capacity of our visual system to focus our attention (i.e. gaze) on relevant objects. Neural networks for saliency estimation require ground truth saliency maps for training which are usually achieved via eyetracking experi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d3f50542f8ab6b567ad9ad0daffa0cf
Publikováno v:
Scopus-Elsevier
VISIGRAPP (4: VISAPP)
VISIGRAPP (4: VISAPP)
Most of the saliency methods are evaluated on their ability to generate saliency maps, and not on their functionality in a complete vision pipeline, like for instance, image classification. In the current paper, we propose an approach which does not
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2ea5ec7b8e07be8eae6973c523160fa