Balancing Specialization, Generalization, and Compression for Detection and Tracking

no code implementations • 25 Sep 2019 • Dotan Kaufman, Koby Bibas, Eran Borenstein, Michael Chertok, Tal Hassner

To this end, we propose a novel loss that balances compression and acceleration of a deep learning model vs. loss of generalization capabilities.

Model Compression