Zobrazeno 1 - 10
of 735
pro vyhledávání: '"Li Juncheng"'
Autor:
Chow, Wei, Li, Juncheng, Yu, Qifan, Pan, Kaihang, Fei, Hao, Ge, Zhiqi, Yang, Shuai, Tang, Siliang, Zhang, Hanwang, Sun, Qianru
In recent times, Vision-Language Models (VLMs) have been trained under two predominant paradigms. Generative training has enabled Multimodal Large Language Models (MLLMs) to tackle various complex tasks, yet issues such as hallucinations and weak obj
Externí odkaz:
http://arxiv.org/abs/2411.00304
Autor:
Miao, Bingchen, Zhang, Wenqiao, Li, Juncheng, Tang, Siliang, Li, Zhaocheng, Shi, Haochen, Xiao, Jun, Zhuang, Yueting
Multimodal Industrial Anomaly Detection (MIAD), utilizing 3D point clouds and 2D RGB images to identify the abnormal region of products, plays a crucial role in industrial quality inspection. However, the conventional MIAD setting presupposes that al
Externí odkaz:
http://arxiv.org/abs/2410.01737
Autor:
Pan, Kaihang, Fan, Zhaoyu, Li, Juncheng, Yu, Qifan, Fei, Hao, Tang, Siliang, Hong, Richang, Zhang, Hanwang, Sun, Qianru
The swift advancement in Multimodal LLMs (MLLMs) also presents significant challenges for effective knowledge editing. Current methods, including intrinsic knowledge editing and external knowledge resorting, each possess strengths and weaknesses, str
Externí odkaz:
http://arxiv.org/abs/2409.19872
Autor:
Huang, Hongzhe, Yu, Zhewen, Liu, Jiang, Cai, Li, Jiao, Dian, Zhang, Wenqiao, Tang, Siliang, Li, Juncheng, Jiang, Hao, Li, Haoyuan, Zhuang, Yueting
Recent advances in Multi-modal Large Language Models (MLLMs), such as LLaVA-series models, are driven by massive machine-generated instruction-following data tuning. Such automatic instruction collection pipelines, however, inadvertently introduce si
Externí odkaz:
http://arxiv.org/abs/2409.18541
Autor:
Wang, Longguang, Guo, Yulan, Li, Juncheng, Liu, Hongda, Zhao, Yang, Wang, Yingqian, Jin, Zhi, Gu, Shuhang, Timofte, Radu
This paper summarizes the 3rd NTIRE challenge on stereo image super-resolution (SR) with a focus on new solutions and results. The task of this challenge is to super-resolve a low-resolution stereo image pair to a high-resolution one with a magnifica
Externí odkaz:
http://arxiv.org/abs/2409.16947
The B-mode ultrasound based computer-aided diagnosis (CAD) has demonstrated its effectiveness for diagnosis of Developmental Dysplasia of the Hip (DDH) in infants. However, due to effect of speckle noise in ultrasound im-ages, it is still a challenge
Externí odkaz:
http://arxiv.org/abs/2408.13495
Autor:
Lin, Tianwei, Liu, Jiang, Zhang, Wenqiao, Li, Zhaocheng, Dai, Yang, Li, Haoyuan, Yu, Zhelun, He, Wanggui, Li, Juncheng, Jiang, Hao, Tang, Siliang, Zhuang, Yueting
While Parameter-Efficient Fine-Tuning (PEFT) methods like LoRA have effectively addressed GPU memory constraints during fine-tuning, their performance often falls short, especially in multidimensional task scenarios. To address this issue, one straig
Externí odkaz:
http://arxiv.org/abs/2408.09856
Autor:
Li, Juncheng, Tang, Pingzhong
Proportional dynamics, originated from peer-to-peer file sharing systems, models a decentralized price-learning process in Fisher markets. Previously, items in the dynamics operate independently of one another, and each is assumed to belong to a diff
Externí odkaz:
http://arxiv.org/abs/2407.11872
Autor:
Li, Juncheng, Tang, Pingzhong
Linear Fisher market is one of the most fundamental economic models. The market is traditionally examined on the basis of individual's price-taking behavior. However, this assumption breaks in markets such as online advertising and e-commerce, where
Externí odkaz:
http://arxiv.org/abs/2407.11869
Publikováno v:
Frontiers in Materials, Vol 8 (2021)
Taylor impact test is characterized by high impact energy, low cost, and good repeatability, giving it the technical foundation and development potential for application in high-g loading. In this paper, the feasibility of performing high-g load impa
Externí odkaz:
https://doaj.org/article/a4d1420c708c4084a15ece25fedaebba
