2.8k citations · 8.6k across the 72 of their papers we have counts for
4 papers · 1 filter
Transfer Adversarial Hashing for Hamming Space Retrieval
Zhangjie Cao, Mingsheng Long, Chao Huang +1
Hashing is widely applied to large-scale image retrieval due to the storage and retrieval efficiency. Existing work on deep hashing assumes that the database in the target domain i…
Partial Transfer Learning with Selective Adversarial Networks
Zhangjie Cao, Mingsheng Long, Jianmin Wang +1
Adversarial learning has been successfully embedded into deep networks to learn transferable features, which reduce distribution discrepancy between the source and target domains.…
Conditional Adversarial Domain Adaptation
Mingsheng Long, Zhangjie Cao, Jianmin Wang +1
Adversarial learning has been embedded into deep networks to learn disentangled and transferable representations for domain adaptation. Existing adversarial domain adaptation metho…
HashNet: Deep Learning to Hash by Continuation
Zhangjie Cao, Mingsheng Long, Jianmin Wang +1
Learning to hash has been widely applied to approximate nearest neighbor search for large-scale multimedia retrieval, due to its computation efficiency and retrieval quality. Deep…