Knowledge Concentration: Learning 100K Object Classifiers in a Single CNN

no code implementations • 21 Nov 2017 • Jiyang Gao, Zijian, Guo, Zhen Li, Ram Nevatia

To address these challenges, we propose a Knowledge Concentration method, which effectively transfers the knowledge from dozens of specialists (multiple teacher networks) into one single model (one student network) to classify 100K object categories.

General Classification Image Classification +1