Zobrazeno 1 - 10
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pro vyhledávání: '"Wang Linlin"'
Scene Graph Generation (SGG) aims to explore the relationships between objects in images and obtain scene summary graphs, thereby better serving downstream tasks. However, the long-tailed problem has adversely affected the scene graph's quality. The
Externí odkaz:
http://arxiv.org/abs/2407.19259
Federated learning is fast becoming a popular paradigm for applications involving mobile devices, banking systems, healthcare, and IoT systems. Hence, over the past five years, researchers have undertaken extensive studies on the privacy leaks, secur
Externí odkaz:
http://arxiv.org/abs/2406.10884
Autor:
Luo, Junwei, Pang, Zhen, Zhang, Yongjun, Wang, Tingzhu, Wang, Linlin, Dang, Bo, Lao, Jiangwei, Wang, Jian, Chen, Jingdong, Tan, Yihua, Li, Yansheng
Remote Sensing Large Multi-Modal Models (RSLMMs) are developing rapidly and showcase significant capabilities in remote sensing imagery (RSI) comprehension. However, due to the limitations of existing datasets, RSLMMs have shortcomings in understandi
Externí odkaz:
http://arxiv.org/abs/2406.10100
Autor:
Li, Yansheng, Wang, Linlin, Wang, Tingzhu, Yang, Xue, Luo, Junwei, Wang, Qi, Deng, Youming, Wang, Wenbin, Sun, Xian, Li, Haifeng, Dang, Bo, Zhang, Yongjun, Yu, Yi, Yan, Junchi
Scene graph generation (SGG) in satellite imagery (SAI) benefits promoting understanding of geospatial scenarios from perception to cognition. In SAI, objects exhibit great variations in scales and aspect ratios, and there exist rich relationships be
Externí odkaz:
http://arxiv.org/abs/2406.09410
Autor:
Prozorov, Ruslan, Tanatar, Makariy A., Kończykowski, Marcin, Grasset, Romain, Koshelev, Alexei E., Wang, Linlin, Bud'ko, Sergey L., Canfield, Paul C.
We report an unusual anisotropic paramagnetic peak effect observed in reversible magnetization of a single crystalline nodal superconductor $\text{Rh}_{17}\text{S}_{15}$. Both temperature- and field-dependent magnetization measurements reveal a disti
Externí odkaz:
http://arxiv.org/abs/2406.00557
The current safeguard mechanisms for large language models (LLMs) are indeed susceptible to jailbreak attacks, making them inherently fragile. Even the process of fine-tuning on apparently benign data for downstream tasks can jeopardize safety. One p
Externí odkaz:
http://arxiv.org/abs/2405.09055
Scene graph generation (SGG) aims to understand the visual objects and their semantic relationships from one given image. Until now, lots of SGG datasets with the eyelevel view are released but the SGG dataset with the overhead view is scarcely studi
Externí odkaz:
http://arxiv.org/abs/2404.07788
Impressive results have been achieved in natural language processing (NLP) tasks through the training of large language models (LLMs). However, these models occasionally produce toxic content such as insults, threats, and profanity in response to cer
Externí odkaz:
http://arxiv.org/abs/2402.15202
In the era of Big Data, prompt analysis and processing of data sets is critical. Meanwhile, statistical methods provide key tools and techniques to extract valuable insights and knowledge from complex data sets. This paper creatively applies statisti
Externí odkaz:
http://arxiv.org/abs/2402.09423
Autor:
Wang, Linlin, Wang, Shixin, Wang, Peng, Wang, Wei, Wang, Dezhao, Wang, Yongcai, Wang, Shanwen
In the realm of intelligent transportation systems, accurate and reliable traffic monitoring is crucial. Traditional devices, such as cameras and lidars, face limitations in adverse weather conditions and complex traffic scenarios, prompting the need
Externí odkaz:
http://arxiv.org/abs/2402.09422