1 code implementation • 7 Jan 2022 • Suyun Zhao, Zhigang Dai, XiZhao Wang, Peng Ni, Hengheng Luo, Hong Chen, Cuiping Li
First, a rule induction method based on consistence degree, called Consistence-based Value Reduction (CVR), is proposed and used as basis to accelerate.
1 code implementation • 19 Mar 2021 • Zhigang Dai, Bolun Cai, Yugeng Lin, Junying Chen
To fully utilize the label annotations, we propose Unified Momentum Contrast (UniMoCo), which extends MoCo to support arbitrary ratios of labeled data and unlabeled data training.
2 code implementations • CVPR 2021 • Zhigang Dai, Bolun Cai, Yugeng Lin, Junying Chen
Inspired by the great success of pre-training transformers in natural language processing, we propose a pretext task named random query patch detection to Unsupervisedly Pre-train DETR (UP-DETR) for object detection.
no code implementations • 12 Mar 2020 • Zhigang Dai, Jinhua Fu, Qile Zhu, Hengbin Cui, Xiaolong Li, Yuan Qi
We revise the attention distribution to focus on the local and contextual semantic information by incorporating the relative position information between utterances.