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Scene text recognition has attracted increasing interest in recent years dueto its wide range of applications in multilingual translation, autonomousdriving, etc. In this report, we describe our solution to the Out of VocabularyScene Text Understanding (OOV-ST) Challenge, which aims to extractout-of-vocabulary (OOV) words from natural scene images. Our oCLIP-based modelachieves 28.59\% in h-mean which ranks 1st in end-to-end OOV word recognitiontrack of OOV Challenge in ECCV2022 TiE Workshop.

1st Place Solution to ECCV 2022 Challenge on Out of Vocabulary Scene Text Understanding: End-to-End Recognition of Out of Vocabulary Words