Jingtao Ma

HENet: Hyperbolic-Based Encoder-Decoder Network for Word Spotting in Historical Mongolian Documents

In the domain of historical Mongolian document image retrieval (HMDIR), word spotting poses a inherent challenge due to the frequent appearance of out-of-vocabulary (OOV) words. Existing methods have mainly focused on query-by-example (QBE), neglecting the query-by-string (QBS) approach. Meanwhile,…