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CWP: Instance complexity weighted channel-wise soft masks for network pruning
In this paper, we propose a simple yet effective differentiable network pruning method CWP based on instance complexity weighted filter importance scores.
Towards Omni-Supervised Face Alignment for Large Scale Unlabeled Videos
In this paper, we propose a spatial-temporal relational reasoning networks (STRRN) approach to investigate the problem of omni-supervised face alignment in videos.
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