no code implementations • 11 Oct 2024 • Ruizhe Zeng, Lu Zhang, Xu Yang, Zhiyong Liu
This limitation results in suboptimal performance for open-vocabulary detectors that rely on CLIP when processing background samples.
no code implementations • 21 Jul 2023 • Ye Ouyang, Yaqin Zhang, Xiaozhou Ye, Yunxin Liu, Yong Song, Yang Liu, Sen Bian, Zhiyong Liu
Through the study of GPT, a typical representative of AIGC, the authors have analyzed how GPT empowers the telecom sector in the form of scenarios, discussed the gap between the current GPT general model and telecom services, proposed for the first time a Telco Augmented Cognition capability system, provided answers to how to construct a telecom service GPT in the telecom sector, and carried out various practices.
no code implementations • 7 Mar 2023 • Siqi Zhang, Lu Zhang, Zhiyong Liu
Domain adaptive object detection (DAOD) assumes that both labeled source data and unlabeled target data are available for training, but this assumption does not always hold in real-world scenarios.
no code implementations • 7 Mar 2023 • Siqi Zhang, Lu Zhang, Zhiyong Liu, Hangtao Feng
Domain adaptive object detection (DAOD) aims to adapt the detector from a labelled source domain to an unlabelled target domain.
1 code implementation • 1 Aug 2022 • Lu Zhang, Lu Qi, Xu Yang, Hong Qiao, Ming-Hsuan Yang, Zhiyong Liu
In the first stage, we obtain a robust feature extractor, which could serve for all images with base and novel categories.
1 code implementation • 15 Jun 2022 • Qianfan Zhao, Lu Zhang, Bin He, Hong Qiao, Zhiyong Liu
Object goal visual navigation is a challenging task that aims to guide a robot to find the target object based on its visual observation, and the target is limited to the classes pre-defined in the training stage.
no code implementations • 21 Apr 2022 • Lu Zhang, Zhiyong Liu, Xiangyu Zhu, Zhan Song, Xu Yang, Zhen Lei, Hong Qiao
In this article, we propose a general multimodal detector named aligned region CNN (AR-CNN) to tackle the position shift problem.
no code implementations • 21 Apr 2022 • Lu Zhang, Siqi Zhang, Xu Yang, Hong Qiao, Zhiyong Liu
In this paper, we emphasize the adaptation process across sim2real domains and model it as a learning problem on the BatchNorm parameters of a simulation-trained model.
no code implementations • IEEE 2020 • Ying Chen, Zhiyong Liu, Yongchao Zhang, Yuan Wu, Xin Chen, Lian Zhao
In order to minimize the long-term average delay of the tasks, theoriginal problem is transformed into a Markov decision process (MDP).
no code implementations • 23 Nov 2017 • Rakenth R. Menon, Jing Luo, Xiaobo Chen, Hui Zhou, Zhiyong Liu, Guangwen Zhou, Ning Zhang, Congrui Jin
Therefore, a screening of different species of fungi has been conducted in this study.