Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Zohourianshahzadi, Zanyar"'
Publikováno v:
2021 International Conference on Natural Language Processing
Vision-language models can assess visual context in an image and generate descriptive text. While the generated text may be accurate and syntactically correct, it is often overly general. To address this, recent work has used optical character recogn
Externí odkaz:
http://arxiv.org/abs/2207.04174
Recently the use of self-attention has yielded to state-of-the-art results in vision-language tasks such as image captioning as well as natural language understanding and generation (NLU and NLG) tasks and computer vision tasks such as image classifi
Externí odkaz:
http://arxiv.org/abs/2206.14263
Image captioning is the task of automatically generating sentences that describe an input image in the best way possible. The most successful techniques for automatically generating image captions have recently used attentive deep learning models. Th
Externí odkaz:
http://arxiv.org/abs/2111.15015
Publikováno v:
International Journal of Semantic Computing, 2021, 93-116
Inspired by how the human brain employs a higher number of neural pathways when describing a highly focused subject, we show that deep attentive models used for the main vision-language task of image captioning, could be extended to achieve better pe
Externí odkaz:
http://arxiv.org/abs/2108.02807
Publikováno v:
Proceeding of 2020 IEEE International Conference on Humanized Computing and Communication with Artificial Intelligence (HCCAI)
Inspired by how the human brain employs more neural pathways when increasing the focus on a subject, we introduce a novel twin cascaded attention model that outperforms a state-of-the-art image captioning model that was originally implemented using o
Externí odkaz:
http://arxiv.org/abs/2009.12524
Publikováno v:
Artificial Intelligence Review; Jun2022, Vol. 55 Issue 5, p3833-3862, 30p
Publikováno v:
International Journal of Semantic Computing; Mar2021, Vol. 15 Issue 1, p93-116, 24p