Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Zhu Zhaoqing"'
Multimodal large language models (MLLMs) have shown impressive capabilities in document understanding, a rapidly growing research area with significant industrial demand in recent years. As a multimodal task, document understanding requires models to
Externí odkaz:
http://arxiv.org/abs/2411.07722
Autor:
Shen, Yufan, Luo, Chuwei, Zhu, Zhaoqing, Chen, Yang, Zheng, Qi, Yu, Zhi, Bu, Jiajun, Yao, Cong
Recently, large language models (LLMs) and multimodal large language models (MLLMs) have demonstrated promising results on document visual question answering (VQA) task, particularly after training on document instruction datasets. An effective evalu
Externí odkaz:
http://arxiv.org/abs/2407.12358
Recently, leveraging large language models (LLMs) or multimodal large language models (MLLMs) for document understanding has been proven very promising. However, previous works that employ LLMs/MLLMs for document understanding have not fully explored
Externí odkaz:
http://arxiv.org/abs/2404.05225
Publikováno v:
E3S Web of Conferences, Vol 252, p 01061 (2021)
With the development of the national economy, the available land for industrial construction is becoming more and more restricted, and the paths of transmission lines and transformation projects mostly pass through regions with complex geological con
Externí odkaz:
https://doaj.org/article/6f875b0537634fb2b4457a3b6320de36
Facial expression recognition (FER) is an essential task for understanding human behaviors. As one of the most informative behaviors of humans, facial expressions are often compound and variable, which is manifested by the fact that different people
Externí odkaz:
http://arxiv.org/abs/2303.00193
Compared with the image-based static facial expression recognition (SFER) task, the dynamic facial expression recognition (DFER) task based on video sequences is closer to the natural expression recognition scene. However, DFER is often more challeng
Externí odkaz:
http://arxiv.org/abs/2208.10335
Dynamic facial expression recognition (DFER) in the wild is an extremely challenging task, due to a large number of noisy frames in the video sequences. Previous works focus on extracting more discriminative features, but ignore distinguishing the ke
Externí odkaz:
http://arxiv.org/abs/2206.04975
2D+3D facial expression recognition (FER) can effectively cope with illumination changes and pose variations by simultaneously merging 2D texture and more robust 3D depth information. Most deep learning-based approaches employ the simple fusion strat
Externí odkaz:
http://arxiv.org/abs/2205.11785
Publikováno v:
Proc. 31st Int'l Joint Conf. Artificial Intelligence (IJCAI), 2022
Facial micro-expressions (MEs) are involuntary facial motions revealing peoples real feelings and play an important role in the early intervention of mental illness, the national security, and many human-computer interaction systems. However, existin
Externí odkaz:
http://arxiv.org/abs/2201.05297
Vision transformer (ViT) has been widely applied in many areas due to its self-attention mechanism that help obtain the global receptive field since the first layer. It even achieves surprising performance exceeding CNN in some vision tasks. However,
Externí odkaz:
http://arxiv.org/abs/2109.13086