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Found 2 papers, 1 papers with code
Deep Face Recognition Model Compression via Knowledge Transfer and Distillation
However, deploying such high performing models to resource constraint devices or real-time applications is challenging.
A Good Practice Towards Top Performance of Face Recognition: Transferred Deep Feature Fusion
In this paper, we propose a unified learning framework named Transferred Deep Feature Fusion (TDFF) targeting at the new IARPA Janus Benchmark A (IJB-A) face recognition dataset released by NIST face challenge.
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