Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Jongkwang Hong"'
Publikováno v:
IEEE Access, Vol 8, Pp 215091-215099 (2020)
Visual Question Answering (VQA) is a task that answers questions on given images. Although previous works achieve a great improvement in VQA performance, they do not consider the fairness of answers in terms of ethically sensitive attributes, such as
Externí odkaz:
https://doaj.org/article/87fd788baa8748c7b8ada3f516c87bf7
Publikováno v:
Sensors, Vol 19, Iss 6, p 1382 (2019)
In action recognition research, two primary types of information are appearance and motion information that is learned from RGB images through visual sensors. However, depending on the action characteristics, contextual information, such as the exist
Externí odkaz:
https://doaj.org/article/b67b8969b0ac4273b89714816e87ed2a
Publikováno v:
Neurocomputing. 402:366-374
Visual Question Answering (VQA) aims to reason an answer, given a textual question and image pair. VQA methods are required to learn the relationship between image region features. These methods have the limitation of inefficient learning that can pr
Publikováno v:
Neurocomputing. 351:187-195
Visual question answering (VQA) aims reasoning answers given a pair of textual question and image. Previous approaches for VQA use only the highest layer of a Convolutional Neural Network (CNN) for visual representation, which biases on object classi
Publikováno v:
Pattern Recognition Letters. 86:56-61
Only small additional training is required, except for baseline detector.The method improves detection accuracy by novel co-occurrence re-scoring.The method can detect new objects which were not to be found by other methods. Contextual detection not
Publikováno v:
Journal of KIISE. 41:666-673
This paper proposes a scalable face recognition method for unconstrained face databases, and shows a simple experimental result. Existing face recognition research usually has focused on improving the recognition rate in a constrained environment whe