Zobrazeno 1 - 10
of 3 092
pro vyhledávání: '"DU Bo"'
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
The in-depth integration of big data technology and red cultural resources promotes the integration of red cultural resources into the integrated construction of the Civic and Political Science curriculum. In this paper, we use information gained to
Externí odkaz:
https://doaj.org/article/b544a6f5df52483eb67876a85ca8744a
When given two similar images, humans identify their differences by comparing the appearance ({\it e.g., color, texture}) with the help of semantics ({\it e.g., objects, relations}). However, mainstream change detection models adopt a supervised trai
Externí odkaz:
http://arxiv.org/abs/2412.16918
Autor:
Zhu, Xuekang, Ma, Xiaochen, Su, Lei, Jiang, Zhuohang, Du, Bo, Wang, Xiwen, Lei, Zeyu, Feng, Wentao, Pun, Chi-Man, Zhou, Jizhe
The mesoscopic level serves as a bridge between the macroscopic and microscopic worlds, addressing gaps overlooked by both. Image manipulation localization (IML), a crucial technique to pursue truth from fake images, has long relied on low-level (mic
Externí odkaz:
http://arxiv.org/abs/2412.13753
Object goal navigation (ObjectNav) is a fundamental task of embodied AI that requires the agent to find a target object in unseen environments. This task is particularly challenging as it demands both perceptual and cognitive processes for effective
Externí odkaz:
http://arxiv.org/abs/2412.10439
Recent trends in cell segmentation have shifted towards universal models to handle diverse cell morphologies and imaging modalities. However, for continuously emerging cell types and imaging techniques, these models still require hundreds or thousand
Externí odkaz:
http://arxiv.org/abs/2412.01410
Autor:
Jiang, Yuncheng, Feng, Chun-Mei, Ren, Jinke, Wei, Jun, Zhang, Zixun, Hu, Yiwen, Liu, Yunbi, Sun, Rui, Tang, Xuemei, Du, Juan, Wan, Xiang, Xu, Yong, Du, Bo, Gao, Xin, Wang, Guangyu, Zhou, Shaohua, Cui, Shuguang, Goh, Rick Siow Mong, Liu, Yong, Li, Zhen
Ultrasound imaging is widely used in clinical diagnosis due to its non-invasive nature and real-time capabilities. However, conventional ultrasound diagnostics face several limitations, including high dependence on physician expertise and suboptimal
Externí odkaz:
http://arxiv.org/abs/2411.16380
Autor:
Zhang, Ziyi, Shen, Li, Zhang, Sen, Ye, Deheng, Luo, Yong, Shi, Miaojing, Du, Bo, Tao, Dacheng
Aligning diffusion models with downstream objectives is essential for their practical applications. However, standard alignment methods often struggle with step generalization when directly applied to few-step diffusion models, leading to inconsisten
Externí odkaz:
http://arxiv.org/abs/2411.11727
Autor:
Huang, Wenke, Liang, Jian, Shi, Zekun, Zhu, Didi, Wan, Guancheng, Li, He, Du, Bo, Tao, Dacheng, Ye, Mang
Multimodal Large Language Model (MLLM) have demonstrated strong generalization capabilities across diverse distributions and tasks, largely due to extensive pre-training datasets. Fine-tuning MLLM has become a common practice to improve performance o
Externí odkaz:
http://arxiv.org/abs/2411.10928
Minimax optimization is gaining increasing attention in modern machine learning applications. Driven by large-scale models and massive volumes of data collected from edge devices, as well as the concern to preserve client privacy, communication-effic
Externí odkaz:
http://arxiv.org/abs/2411.09365