1 code implementation • ICCV 2023 • Renrong Shao, Wei zhang, Jianhua Yin, Jun Wang
Our approach utilizes an adversarial distillation framework with attention generator, mixed high-order attention distillation, and semantic feature contrast learning.
Data-free Knowledge Distillation Fine-Grained Visual Categorization +1
1 code implementation • 13 Jan 2023 • Han Liu, Yinwei Wei, Jianhua Yin, Liqiang Nie
Towards this end, existing methods tend to code users by modeling their Hamming similarities with the items they historically interact with, which are termed as the first-order similarities in this work.
no code implementations • 24 Jul 2022 • Yudong Han, Liqiang Nie, Jianhua Yin, Jianlong Wu, Yan Yan
Several studies have recently pointed that existing Visual Question Answering (VQA) models heavily suffer from the language prior problem, which refers to capturing superficial statistical correlations between the question type and the answer whereas ignoring the image contents.
no code implementations • 21 Jul 2022 • Yudong Han, Jianhua Yin, Jianlong Wu, Yinwei Wei, Liqiang Nie
Visual Question Answering (VQA) is fundamentally compositional in nature, and many questions are simply answered by decomposing them into modular sub-problems.
no code implementations • 30 Mar 2022 • JiaQi Zhang, Zhiyuan Ye, Jianhua Yin, Liying Lang, Shuming Jiao
6 polarized OAM beams with identical total intensity and 8 cylinder vector beams with different topology charges also have been classified effectively.
1 code implementation • 8 Jun 2021 • Han Liu, Yangyang Guo, Jianhua Yin, Zan Gao, Liqiang Nie
To be specific, in this model, positive and negative reviews are separately gathered and utilized to model the user-preferred and user-rejected aspects, respectively.
1 code implementation • 3 Feb 2021 • Yibing Liu, Yangyang Guo, Jianhua Yin, Xuemeng Song, Weifeng Liu, Liqiang Nie
However, recent studies have pointed out that the highlighted image regions from the visual attention are often irrelevant to the given question and answer, leading to model confusion for correct visual reasoning.
no code implementations • 8 Dec 2019 • Wei Zhang, Chao Dong, Jianhua Yin, Jianyong Wang
Relying on this, the representation learning and clustering for short texts are seamlessly integrated into a unified model.
no code implementations • 1 Aug 2014 • Jianhua Yin, Jianyong Wang
Short text clustering has become an increasingly important task with the popularity of social media like Twitter, Google+, and Facebook.