An easy-to-use generalized deep metric learning library
GeDML GeDML is an easy-to-use generalized deep metric learning library, which contains: State-of-the-art DML algorithms: We contrain 18+ losses functions and 6+ sampling strategies, and divide these algorithms into three categories (i.e., collectors, selectors, and losses). Bridge bewteen DML and SSL: We attempt to bridge the gap between deep metric learning and self-supervised learning through specially designed modules, such as collectors. Auxiliary modules to assist in building: We also encapsulates the upper interface for users to start programs quickly and […]
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