Zobrazeno 1 - 10
of 46 437
pro vyhledávání: '"An, Zhenzhen"'
Current saliency-based defect detection methods show promise in industrial settings, but the unpredictability of defects in steel production environments complicates dataset creation, hampering model performance. Existing data augmentation approaches
Externí odkaz:
http://arxiv.org/abs/2412.15570
Publikováno v:
The 17th International Conference on Knowledge Science, Engineering and Management (KSEM 2024)
Faced with the burgeoning volume of academic literature, researchers often need help with uncertain article quality and mismatches in term searches using traditional academic engines. We introduce IntellectSeeker, an innovative and personalized intel
Externí odkaz:
http://arxiv.org/abs/2412.07213
Navigating unseen environments based on natural language instructions remains difficult for egocentric agents in Vision-and-Language Navigation (VLN). While recent advancements have yielded promising outcomes, they primarily rely on RGB images for en
Externí odkaz:
http://arxiv.org/abs/2412.06465
Autor:
Liu, Binbin, Silvestri, Carlo, Zhou, Kang, Ma, Xuhong, Wu, Shumin, Li, Ziping, Wan, Wenjian, Zhang, Zhenzhen, Zhang, Ying, Peng, Junsong, Zeng, Heping, Wang, Cheng, Brambilla, Massimo, Columbo, Lorenzo, Li, Hua
Chaos characterized by its irregularity and high sensitivity to initial conditions finds various applications in secure optical communications, random number generations, light detection and ranging systems, etc. Semiconductor lasers serve as ideal l
Externí odkaz:
http://arxiv.org/abs/2410.20099
The Rashba effect in Janus structures, accompanied by nontrivial topology, plays an important role in spintronics and even photovoltaic applications, which are receiving increasing attention. However, less effort has been devoted to searching for the
Externí odkaz:
http://arxiv.org/abs/2410.19421
Autor:
He, Zhenzhen, Li, Guang-Xing
Extracting information from complex data is a challenge shared by multiple frontiers of modern astrophysical research. Among those, analyzing spectra cubes, where the emission is mapped in the position-position-velocity space is a difficult task give
Externí odkaz:
http://arxiv.org/abs/2410.14611
Text-video retrieval (TVR) has seen substantial advancements in recent years, fueled by the utilization of pre-trained models and large language models (LLMs). Despite these advancements, achieving accurate matching in TVR remains challenging due to
Externí odkaz:
http://arxiv.org/abs/2410.06618
Autor:
Kong, Zhenzhen, Li, Zonghu, Zhou, Yuchen, Cao, Gang, Li, Hai-Ou, Su, Jiale, Zhang, Yiwen, Liu, Jinbiao, Guo, Guo-Ping, Li, Junfeng, Luo, Jun, Zhao, Chao, Ye, Tianchun, Wang, Guilei
Strong spin-orbit coupling and relatively weak hyperfine interactions make germanium hole spin qubits a promising candidate for semiconductor quantum processors. The two-dimensional hole gas structure of strained Ge quantum wells serves as the primar
Externí odkaz:
http://arxiv.org/abs/2410.00768
Social dynamics in close human interactions pose significant challenges for Human Mesh Estimation (HME), particularly due to the complexity of physical contacts and the scarcity of training data. Addressing these challenges, we introduce a novel data
Externí odkaz:
http://arxiv.org/abs/2410.00309
Dynamic facial expression recognition (DFER) is essential for understanding human emotions and behavior. However, conventional DFER methods, which primarily use dynamic facial data, often underutilize static expression images and their labels, limiti
Externí odkaz:
http://arxiv.org/abs/2409.06154