Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Peyre, Julia"'
In the insurance industry detecting fraudulent claims is a critical task with a significant financial impact. A common strategy to identify fraudulent claims is looking for inconsistencies in the supporting evidence. However, this is a laborious and
Externí odkaz:
http://arxiv.org/abs/2301.07526
We seek to detect visual relations in images of the form of triplets t = (subject, predicate, object), such as "person riding dog", where training examples of the individual entities are available but their combinations are unseen at training. This i
Externí odkaz:
http://arxiv.org/abs/1812.05736
This paper introduces a novel approach for modeling visual relations between pairs of objects. We call relation a triplet of the form (subject, predicate, object) where the predicate is typically a preposition (eg. 'under', 'in front of') or a verb (
Externí odkaz:
http://arxiv.org/abs/1707.09472
Autor:
Peyre, Julia
Publikováno v:
Artificial Intelligence [cs.AI]. Université Paris sciences et lettres, 2019. English. ⟨NNT : 2019PSLEE016⟩
Artificial Intelligence [cs.AI]. PSL Research University, 2019. English. ⟨NNT : 2019PSLEE016⟩
Artificial Intelligence [cs.AI]. PSL Research University, 2019. English. ⟨NNT : 2019PSLEE016⟩
In this thesis, we study the problem of detection of visual relations of the form (subject, predicate, object) in images, which are intermediate level semantic units between objects and complex scenes. Our work addresses two main challenges in visual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::61feadd86a92af2b79735e66fb0d3265
https://inria.hal.science/tel-02332673v2/document
https://inria.hal.science/tel-02332673v2/document