discussion about difference between re-rank and qb-norm
onlyonewater opened this issue · 1 comments
Hi, I notice that re-rank [1] as a post-processed technology is very popular in cross-modal retrieval, I think qb-norm is also a re-rank technology. Its implementation is a little different from re-rank. This is my understanding, is it right?
[1] Re-ranking Person Re-identification with k-reciprocal Encoding. CVPR, 2017
Hi!
There are many works that enhance similarity search for retrieval, including re-ranking. QB-Norm focus specifically on tackling the problem of hubness in cross-modal embeddings. Intuitively, QB-Norm aims to scale down the similarity between a video and a query if that video is highly retrieved. This means that combining QB-Norm with a re-ranking method (such as [1]) could potentially further increase the performance.