Search Results for author: Dongbao Yang

Found 7 papers, 2 papers with code

Masked and Permuted Implicit Context Learning for Scene Text Recognition

no code implementations25 May 2023 Xiaomeng Yang, Zhi Qiao, Jin Wei, Dongbao Yang, Yu Zhou

We utilize the training procedure of PLM, and to integrate MLM, we incorporate word length information into the decoding process and replace the undetermined characters with mask tokens.

Decoder Language Modelling +2

Multi-View Correlation Distillation for Incremental Object Detection

no code implementations5 Jul 2021 Dongbao Yang, Yu Zhou, Weiping Wang

Due to the storage burden and the privacy of old data, sometimes it is impractical to train the model from scratch with both old and new data.

Object object-detection +1

Two-Level Residual Distillation based Triple Network for Incremental Object Detection

no code implementations27 Jul 2020 Dongbao Yang, Yu Zhou, Dayan Wu, Can Ma, Fei Yang, Weiping Wang

Modern object detection methods based on convolutional neural network suffer from severe catastrophic forgetting in learning new classes without original data.

Incremental Learning Object +3

Self-Training for Domain Adaptive Scene Text Detection

no code implementations23 May 2020 Yudi Chen, Wei Wang, Yu Zhou, Fei Yang, Dongbao Yang, Weiping Wang

To address this problem, we propose a self-training framework to automatically mine hard examples with pseudo-labels from unannotated videos or images.

Image to Video Generation Scene Text Detection +1

Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning

1 code implementation2 Jan 2020 Dezhao Luo, Chang Liu, Yu Zhou, Dongbao Yang, Can Ma, Qixiang Ye, Weiping Wang

As a proxy task, it converts rich self-supervised representations into video clip operations (options), which enhances the flexibility and reduces the complexity of representation learning.

Representation Learning Retrieval +4

Curved Text Detection in Natural Scene Images with Semi- and Weakly-Supervised Learning

no code implementations27 Aug 2019 Xugong Qin, Yu Zhou, Dongbao Yang, Weiping Wang

The performance of the proposed method is comparable with the state-of-the-art methods with only 10% pixel-level annotated data and 90% rectangle-level weakly annotated data.

Curved Text Detection Text Detection +1

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