1 code implementation • ECCV 2020 • Zheng Xie, Zhiquan Wen, Jing Liu, Zhi-Qiang Liu, Xixian Wu, Mingkui Tan
Specifically, we propose a method named deep transferring quantization (DTQ) to effectively exploit the knowledge in a pre-trained full-precision model.
1 code implementation • 24 Feb 2023 • Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Zhiquan Wen, Yaofo Chen, Peilin Zhao, Mingkui Tan
In this paper, we investigate the unstable reasons and find that the batch norm layer is a crucial factor hindering TTA stability.
1 code implementation • NeurIPS 2021 • Zhiquan Wen, Guanghui Xu, Mingkui Tan, Qingyao Wu, Qi Wu
From the sample perspective, we construct two types of negative samples to assist the training of the models, without introducing additional annotations.
no code implementations • 22 Nov 2020 • Yihan Zheng, Zhiquan Wen, Mingkui Tan, Runhao Zeng, Qi Chen, YaoWei Wang, Qi Wu
Moreover, to capture the complex logic in a query, we construct a relational graph to represent the visual objects and their relationships, and propose a multi-step reasoning method to progressively understand the complex logic.
Ranked #2 on Referring Expression Comprehension on CLEVR-Ref+