The System Description of dun_oscar team for The ICPR MSR Challenge
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Abstract (arXiv)
This paper introduces the system submitted by dun_oscar team for the ICPR MSR Challenge. Three subsystems for task1-task3 are descripted respectively. In task1, we develop a visual system which includes a OCR model, a text tracker, and a NLP classifier for distinguishing subtitles and non-subtitles. In task2, we employ an ASR system which includes an AM with 18 layers and a 4-gram LM. Semi-supervised learning on unlabeled data is also vital. In task3, we employ the ASR system to improve the visual system, some false subtitles can be corrected by a fusion module.
Key facts. No citing papers in the map yet (data through 13 Oct 2026). Builds on 10 of its 18 references that are in the map. First posted on arXiv 13 Mar 2023.
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References · 10
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- 2019MASTER: Multi-Aspect Non-local Network for Scene Text Recognitioncited by 65
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