Zobrazeno 1 - 10
of 5 680
pro vyhledávání: '"Yanhao A"'
Publikováno v:
Animal Biotechnology, Vol 35, Iss 1 (2024)
Mastitis, a serious threat to the health and milk production function of dairy cows decreases milk quality. Blood from three healthy cows and three mastitis cows were collected in this study and their transcriptome was sequenced using the Illumina Hi
Externí odkaz:
https://doaj.org/article/130630f41eb646f19bb0d16234999ff4
This paper introduces two novel criteria: one for feature selection and another for feature elimination in the context of best subset selection, which is a benchmark problem in statistics and machine learning. From the perspective of optimization, we
Externí odkaz:
http://arxiv.org/abs/2501.16815
In recent years, there has been an increasing interest in image anonymization, particularly focusing on the de-identification of faces and individuals. However, for self-driving applications, merely de-identifying faces and individuals might not prov
Externí odkaz:
http://arxiv.org/abs/2501.09393
Multimodal large language models (MLLMs), such as GPT-4o, Gemini, LLaVA, and Flamingo, have made significant progress in integrating visual and textual modalities, excelling in tasks like visual question answering (VQA), image captioning, and content
Externí odkaz:
http://arxiv.org/abs/2412.20927
Vision Question Answering (VQA) tasks use images to convey critical information to answer text-based questions, which is one of the most common forms of question answering in real-world scenarios. Numerous vision-text models exist today and have perf
Externí odkaz:
http://arxiv.org/abs/2412.18327
Autor:
Zhang, Qian, Chen, Panfeng, Li, Jiali, Feng, Linkun, Liu, Shuyu, Zhao, Heng, Chen, Mei, Li, Hui, Wang, Yanhao
The emergence of Large Language Models (LLMs) in the medical domain has stressed a compelling need for standard datasets to evaluate their question-answering (QA) performance. Although there have been several benchmark datasets for medical QA, they e
Externí odkaz:
http://arxiv.org/abs/2412.06287
Face swapping aims to generate results that combine the identity from the source with attributes from the target. Existing methods primarily focus on image-based face swapping. When processing videos, each frame is handled independently, making it di
Externí odkaz:
http://arxiv.org/abs/2411.18293
Autor:
Yang, Fan, Zhen, Ru, Wang, Jianing, Zhang, Yanhao, Chen, Haoxiang, Lu, Haonan, Zhao, Sicheng, Ding, Guiguang
AIGC images are prevalent across various fields, yet they frequently suffer from quality issues like artifacts and unnatural textures. Specialized models aim to predict defect region heatmaps but face two primary challenges: (1) lack of explainabilit
Externí odkaz:
http://arxiv.org/abs/2411.17261
Autor:
Gupta, Vishakha, Winkel, Patrick, Thakur, Neel, van Vlaanderen, Peter, Wang, Yanhao, Ganjam, Suhas, Frunzio, Luigi, Schoelkopf, Robert J.
Lumped-element inductors are an integral component in the circuit QED toolbox. However, it is challenging to build inductors that are simultaneously compact, linear and low-loss with standard approaches that either rely on the geometric inductance of
Externí odkaz:
http://arxiv.org/abs/2411.12611
Publikováno v:
Computer Graphics Forum (2024), 43: e15215
With the emergence of large-scale Text-to-Image(T2I) models and implicit 3D representations like Neural Radiance Fields (NeRF), many text-driven generative editing methods based on NeRF have appeared. However, the implicit encoding of geometric and t
Externí odkaz:
http://arxiv.org/abs/2411.10033