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Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results
TLDR
This work identifies the next set of challenges that requires attention from the research community and collects a new dataset of face images that involve these issues such as weather-based degradations, motion blur, focus blur and several others.
A pairwise learning strategy for video-based face recognition
TLDR
A pairwise learning strategy is proposed to overcome the challenges of abundant variants in video-based face recognition (VFR) and an online effective example mining (OEEM) method is designed to eliminate noisy samples to force the model focus more on effective examples during training.