Zobrazeno 1 - 10
of 157
pro vyhledávání: '"Yu, Yuanlong"'
Predicting individual aesthetic preferences holds significant practical applications and academic implications for human society. However, existing studies mainly focus on learning and predicting the commonality of facial attractiveness, with little
Externí odkaz:
http://arxiv.org/abs/2311.13929
Agnostic domain shift is the main reason of model degradation on the unknown target domains, which brings an urgent need to develop Domain Generalization (DG). Recent advances at DG use dynamic networks to achieve training-free adaptation on the unkn
Externí odkaz:
http://arxiv.org/abs/2311.13928
Amidst the swift advancements in photography and sensor technologies, high-definition cameras have become commonplace in the deployment of Unmanned Aerial Vehicles (UAVs) for diverse operational purposes. Within the domain of UAV imagery analysis, th
Externí odkaz:
http://arxiv.org/abs/2310.04721
Autor:
Liu, Wenxi, Li, Qi, Yang, Weixiang, Cai, Jiaxin, Yu, Yuanlong, Ma, Yuexin, He, Shengfeng, Pan, Jia
HD map reconstruction is crucial for autonomous driving. LiDAR-based methods are limited due to expensive sensors and time-consuming computation. Camera-based methods usually need to perform road segmentation and view transformation separately, which
Externí odkaz:
http://arxiv.org/abs/2211.08144
Autor:
Sun, Zhishu, Shen, Zhifeng, Lin, Luojun, Yu, Yuanlong, Yang, Zhifeng, Yang, Shicai, Chen, Weijie
Domain generalization (DG) is a fundamental yet very challenging research topic in machine learning. The existing arts mainly focus on learning domain-invariant features with limited source domains in a static model. Unfortunately, there is a lack of
Externí odkaz:
http://arxiv.org/abs/2205.13913
Publikováno v:
In Pattern Recognition October 2024 154
Publikováno v:
In Expert Systems With Applications 1 September 2024 249 Part B
Autor:
Xu, Hongjian, Liao, Longlong, Liu, Xinqi, Chen, Shuguang, Chen, Jianguo, Liang, Zhixuan, Yu, Yuanlong
Publikováno v:
In Future Generation Computer Systems December 2024 161:404-414
Domain Generalization (DG) aims to generalize a model trained on multiple source domains to an unseen target domain. The source domains always require precise annotations, which can be cumbersome or even infeasible to obtain in practice due to the va
Externí odkaz:
http://arxiv.org/abs/2111.10221
Ultra-high resolution image segmentation has raised increasing interests in recent years due to its realistic applications. In this paper, we innovate the widely used high-resolution image segmentation pipeline, in which an ultra-high resolution imag
Externí odkaz:
http://arxiv.org/abs/2109.02580