Search Results for author: Guoqing Jin

Found 4 papers, 4 papers with code

Feature-Adaptive and Data-Scalable In-Context Learning

1 code implementation17 May 2024 Jiahao Li, Quan Wang, Licheng Zhang, Guoqing Jin, Zhendong Mao

In this paper, we propose a feature-adaptive and data-scalable in-context learning framework (FADS-ICL), which can leverage task-adaptive features to promote inference on the downstream task, with the supervision of beyond-context samples.

In-Context Learning

Towards Balanced Alignment: Modal-Enhanced Semantic Modeling for Video Moment Retrieval

1 code implementation19 Dec 2023 Zhihang Liu, Jun Li, Hongtao Xie, Pandeng Li, Jiannan Ge, Sun-Ao Liu, Guoqing Jin

In this paper, we introduce Modal-Enhanced Semantic Modeling (MESM), a novel framework for more balanced alignment through enhancing features at two levels.

Moment Retrieval Retrieval +1

Look Back Again: Dual Parallel Attention Network for Accurate and Robust Scene Text Recognition

2 code implementations ICMR 2021 Zilong Fu, Guoqing Jin, Hongtao Xie, Junbo Guo

To tackle this issue, in this paper, we propose a dual parallel attention network (DPAN), in which a newly designed parallel context attention module (PCAM) is cascaded with the original PPAM, using linguistic contextual information to compensate for the information inconsistency between queries and keys.

Language Modelling Position +1

APE-GAN: Adversarial Perturbation Elimination with GAN

3 code implementations18 Jul 2017 Shiwei Shen, Guoqing Jin, Ke Gao, Yongdong Zhang

Although neural networks could achieve state-of-the-art performance while recongnizing images, they often suffer a tremendous defeat from adversarial examples--inputs generated by utilizing imperceptible but intentional perturbation to clean samples from the datasets.

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