1 code implementation • 20 Mar 2022 • Weijia Wu, Debing Zhang, Ying Fu, Chunhua Shen, Hong Zhou, Yuanqiang Cai, Ping Luo
Recent video text spotting methods usually require the three-staged pipeline, i. e., detecting text in individual images, recognizing localized text, tracking text streams with post-processing to generate final results.
3 code implementations • 9 Dec 2021 • Weijia Wu, Yuanqiang Cai, Debing Zhang, Sibo Wang, Zhuang Li, Jiahong Li, Yejun Tang, Hong Zhou
Most existing video text spotting benchmarks focus on evaluating a single language and scenario with limited data.
no code implementations • 30 Oct 2021 • Jue Wang, Haofan Wang, Xing Wu, Chaochen Gao, Debing Zhang
In this paper, we present TransAug (Translate as Augmentation), which provide the first exploration of utilizing translated sentence pairs as data augmentation for text, and introduce a two-stage paradigm to advances the state-of-the-art sentence embeddings.
no code implementations • 10 Sep 2021 • Jue Wang, Haofan Wang, Jincan Deng, Weijia Wu, Debing Zhang
Extra rich non-paired single-modal text data is used for boosting the generalization of text branch.
6 code implementations • 11 Oct 2020 • Xiang An, Xuhan Zhu, Yang Xiao, Lan Wu, Ming Zhang, Yuan Gao, Bin Qin, Debing Zhang, Ying Fu
The experiment demonstrates no loss of accuracy when training with only 10\% randomly sampled classes for the softmax-based loss functions, compared with training with full classes using state-of-the-art models on mainstream benchmarks.
Ranked #1 on
Face Identification
on MegaFace
1 code implementation • 30 Jun 2020 • Di Wu, Qi Tang, Yongle Zhao, Ming Zhang, Ying Fu, Debing Zhang
The 8 bits quantization has been widely applied to accelerate network inference in various deep learning applications.
no code implementations • ECCV 2018 • Ying Fu, Tao Zhang, Yinqiang Zheng, Debing Zhang, Hua Huang
Hyperspectral image (HSI) recovery from a single RGB image has attracted much attention, whose performance has recently been shown to be sensitive to the camera spectral sensitivity (CSS).