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Search reranking is considered as a best and common way to improves retrieval precision. However the problem is not trivial especially when we are considering multiple features or modalities for search in image and video retrieval. This paper suggests a new kind of reranking algorithm, the circular reranking, that supports the mutual exchange of information across multiple modalities for improving search performance, and follows the philosophy of strong performing modality could learn fromdoi:10.9790/0661-16197881 fatcat:7txgqtlicnfcffteakolplwdji