12 citations · 38 across the 5 of their papers we have counts for
4 papers · 1 filter
Real-time End-to-End Video Text Spotter with Contrastive Representation Learning
Wejia Wu, Zhuang Li, Jiahong Li +5
Video text spotting(VTS) is the task that requires simultaneously detecting, tracking and recognizing text in the video. Existing video text spotting methods typically develop soph…
A Bilingual, OpenWorld Video Text Dataset and End-to-end Video Text Spotter with Transformer
Weijia Wu, Yuanqiang Cai, Debing Zhang +5
Most existing video text spotting benchmarks focus on evaluating a single language and scenario with limited data. In this work, we introduce a large-scale, Bilingual, Open World V…
Contrastive Learning of Semantic and Visual Representations for Text Tracking
Zhuang Li, Weijia Wu, Mike Zheng Shou +4
Semantic representation is of great benefit to the video text tracking(VTT) task that requires simultaneously classifying, detecting, and tracking texts in the video. Most existing…
AugNet: End-to-End Unsupervised Visual Representation Learning with Image Augmentation
Mingxiang Chen, Zhanguo Chang, Haonan Lu +4
Most of the achievements in artificial intelligence so far were accomplished by supervised learning which requires numerous annotated training data and thus costs innumerable manpo…