Zobrazeno 1 - 10
of 335
pro vyhledávání: '"A. Lisai"'
Autor:
Han, Yunpeng, Zhang, Lisai, Chen, Qingcai, Chen, Zhijian, Li, Zhonghua, Yang, Jianxin, Cao, Zhao
Fashion vision-language pre-training models have shown efficacy for a wide range of downstream tasks. However, general vision-language pre-training models pay less attention to fine-grained domain features, while these features are important in disti
Externí odkaz:
http://arxiv.org/abs/2304.05051
Fine-grained supervision based on object annotations has been widely used for vision and language pre-training (VLP). However, in real-world application scenarios, aligned multi-modal data is usually in the image-caption format, which only provides c
Externí odkaz:
http://arxiv.org/abs/2303.05313
Publikováno v:
Gut Pathogens, Vol 16, Iss 1, Pp 1-14 (2024)
Abstract During the last decade, porcine epidemic diarrhea virus has detrimental consequences on swine industry, due to severe outbreaks especially in the suckling piglets. In March 2013, an outbreak was reported on a commercial swine farm in Guangdo
Externí odkaz:
https://doaj.org/article/21b767962793477d991ae3beea1efb13
Autor:
Zhang, Lisai, Wu, Hongfa, Chen, Qingcai, Deng, Yimeng, Li, Zhonghua, Kong, Dejiang, Cao, Zhao, Siebert, Joanna, Han, Yunpeng
Cross-model retrieval has emerged as one of the most important upgrades for text-only search engines (SE). Recently, with powerful representation for pairwise text-image inputs via early interaction, the accuracy of vision-language (VL) transformers
Externí odkaz:
http://arxiv.org/abs/2110.11338
Graph convolutional network (GCN) has become popular in various natural language processing (NLP) tasks with its superiority in long-term and non-consecutive word interactions. However, existing single-hop graph reasoning in GCN may miss some importa
Externí odkaz:
http://arxiv.org/abs/2106.05221
Autor:
Lisai, Stefania, Wilkinson, Mark
We consider a class of steady solutions of the semi-geostrophic equations on $\mathbb{R}^3$ and derive the linearised dynamics around those solutions. The linear PDE which governs perturbations around those steady states is a transport equation featu
Externí odkaz:
http://arxiv.org/abs/2009.06319
Few-shot learning is a challenging task, which aims to learn a classifier for novel classes with few examples. Pre-training based meta-learning methods effectively tackle the problem by pre-training a feature extractor and then fine-tuning it through
Externí odkaz:
http://arxiv.org/abs/2009.04960
Image inpainting task requires filling the corrupted image with contents coherent with the context. This research field has achieved promising progress by using neural image inpainting methods. Nevertheless, there is still a critical challenge in gue
Externí odkaz:
http://arxiv.org/abs/2004.03212
Integrating visual features has been proved useful for natural language understanding tasks. Nevertheless, in most existing multimodal language models, the alignment of visual and textual data is expensive. In this paper, we propose a novel semi-supe
Externí odkaz:
http://arxiv.org/abs/1912.00336
Publikováno v:
In ISA Transactions November 2023 142:83-97