no code implementations • 23 Mar 2024 • Zhenhuang Cai, Chuanyi Zhang, Dan Huang, Yuanbo Chen, Xiuyun Guan, Yazhou Yao
Comprehensive experimental results on synthetic and real-world datasets demonstrate the superiority of GRIP over the existing state-of-the-art methods.
no code implementations • 26 Dec 2023 • Yingpeng Wen, Weijiang Yu, Fudan Zheng, Dan Huang, Nong Xiao
Additionally, the proposed AdaNAS model is compared with other neural architecture search methods and previous studies.
1 code implementation • 8 Apr 2023 • Gensheng Pei, Yazhou Yao, Fumin Shen, Dan Huang, Xingguo Huang, Heng-Tao Shen
Zero-shot video object segmentation (ZS-VOS) aims to segment foreground objects in a video sequence without prior knowledge of these objects.
no code implementations • 7 Dec 2022 • Jiangsu Du, Dongsheng Li, Yingpeng Wen, Jiazhi Jiang, Dan Huang, Xiangke Liao, Yutong Lu
In this paper, we propose a scalable evaluation methodology (SAIH) for analyzing the AI performance trend of HPC systems with scaling the problem sizes of customized AI applications.
no code implementations • CVPR 2022 • Zeren Sun, Fumin Shen, Dan Huang, Qiong Wang, Xiangbo Shu, Yazhou Yao, Jinhui Tang
Label noise has been a practical challenge in deep learning due to the strong capability of deep neural networks in fitting all training data.
2 code implementations • Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies 2011 • Andrew L. Maas, Raymond E. Daly, Peter T. Pham, Dan Huang, Andrew Y. Ng
We present a model that uses a mix of unsupervised and supervised techniques to learn word vectors capturing semantic term–document information as well as rich sentiment content.