… We present oCLIP that learns better scene text visual representations by feature alignment
with textual information. As shown in Fig. 2, the proposed network first extracts image …

… In particular, we explore a range of vision and vision-language image encoders, pooling
operators, light-to-heavy fusion schemes, and different integration points between word-level …

… vision model with language capability. Specially, we introduce the text recognition of character…
Such operation guides the vision model to use not only the visual texture of characters, but …

… Recently, vision-language joint representation learning has … adapt vision-language joint
learning for scene text detection, a task … ities: vision and language, since text is the written form of …

… like character detection and recognition we provide annotated character bounding boxes. …
We address a more general problem of scene text recognition, ie recognizing a word without …

… Scene text recognition (STR) enables computers to read text in natural scenes such as object
labels, road signs and instructions. STR helps machines perform informed decisions such …

… language modeling outperforms the state-ofthe-art in unconstrained scene text recognition
… In this paper we proposed an LSTM-based visual attention model for scene text recognition. …

… loss from language aspect, multiple losses from attention and language are accumulated
for … on standard datasets for scene text recognition, including Street View Text, IIIT5K and …

… language information of text. In order to effectively resort to linguistic information for scene text
recognition… in NLP [7] into text recognition method. Subword tokenization algorithms aim to …

… model and language model respectively to learn modality-specific knowledge for … scene
text recognition. In detail, we first pre-train the proposed off-the-shelf vision model and language …