most citedAudio Visual Scene-Aware Dialog Generation with Transformer-based Video Representations

3 citations · 4 across the 3 of their papers we have counts for

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cs.CV2021★ 1 cited

Utilizing Resource-Rich Language Datasets for End-to-End Scene Text Recognition in Resource-Poor Languages

Shota Orihashi, Yoshihiro Yamazaki, Naoki Makishima +4

This paper presents a novel training method for end-to-end scene text recognition. End-to-end scene text recognition offers high recognition accuracy, especially when using the enc…