11 citations · 28 across the 9 of their papers we have counts for
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cs.CV2021★ 11 cited
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…
cs.CL2021
TransAug: Translate as Augmentation for Sentence Embeddings
Jue Wang
While contrastive learning greatly advances the representation of sentence embeddings, it is still limited by the size of the existing sentence datasets. In this paper, we present…
cs.CL2021★ 7 cited
EfficientCLIP: Efficient Cross-Modal Pre-training by Ensemble Confident Learning and Language Modeling
Jue Wang, Haofan Wang, Jincan Deng +2
While large scale pre-training has achieved great achievements in bridging the gap between vision and language, it still faces several challenges. First, the cost for pre-training…