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Found 2 papers, 1 papers with code
SCANNER: Knowledge-Enhanced Approach for Robust Multi-modal Named Entity Recognition of Unseen Entities
Our approach demonstrates competitive performance on the NER benchmark and surpasses existing methods on both MNER and GMNER benchmarks.
Multi-modal Named Entity Recognition
named-entity-recognition
+2
Towards Unified Scene Text Spotting based on Sequence Generation
Although some auto-regressive models have demonstrated promising results in end-to-end text spotting, they use specific detection formats while ignoring various text shapes and are limited in the maximum number of text instances that can be detected.
Ranked #1 on
Text Spotting
on ICDAR 2015
