Bi-CMR: Bidirectional Reinforcement Guided Hashing for Effective Cross-Modal Retrieval | Zendy

Tieying Li | Zendy; Xiaochun Yang | Zendy; Bin Wang | Zendy; Chong Xi | Zendy; Hanzhong Zheng | Zendy; Xiangmin Zhou | Zendy

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Bi-CMR: Bidirectional Reinforcement Guided Hashing for Effective Cross-Modal Retrieval

Author(s) -

Tieying Li,

Xiaochun Yang,

Bin Wang,

Chong Xi,

Hanzhong Zheng,

Xiangmin Zhou

Publication year - 2022

Publication title -

proceedings of the aaai conference on artificial intelligence

Language(s) - Uncategorized

Resource type - Journals

eISSN - 2374-3468

pISSN - 2159-5399

DOI - 10.1609/aaai.v36i9.21268

Subject(s) - computer science , hash function , reinforcement learning , relevance (law) , benchmark (surveying) , modal , similarity (geometry) , artificial intelligence , construct (python library) , semantics (computer science) , matching (statistics) , machine learning , pattern recognition (psychology) , information retrieval , mathematics , image (mathematics) , chemistry , statistics , computer security , geodesy , political science , polymer chemistry , law , programming language , geography

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