Consensus Ranking for Increasing Mean Average Precision in Keyword Spotting
Anders Hast · Uppsala University Publications (Uppsala University) · 2020
Word spotting use a query word image to find any instances of that word among document images. The obtained list of words is ranked according to similarity to the query word. Ideally, any false positives should only occur in the end of that list. However, in reality they often occur higher up, which decreases the so called mean average precision. It is shown how creating new ranked lists by re-scoring using the top n occurrences in the original list, and then fusing the scores, can increase the mean average precision.