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Found 4 papers, 1 papers with code
Fully Convolutional Networks for Handwriting Recognition
Handwritten text recognition is challenging because of the virtually infinite ways a human can write the same message.
Show, Translate and Tell
Humans have an incredible ability to process and understand information from multiple sources such as images, video, text, and speech.
Semantically Invariant Text-to-Image Generation
Along with MMVR, we propose two improvements to the text conditioned image generation.
Semantic Sentence Embeddings for Paraphrasing and Text Summarization
This paper introduces a sentence to vector encoding framework suitable for advanced natural language processing.
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