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sander.ai | ||
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kpzhang93.github.io
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| | | | | Face detection and alignment in unconstrained environment are challenging due to various poses, illuminations and occlusions. Recent studies show that deep learning approaches can achieve impressive performance on these two tasks. In this paper, we propose a deep cascaded multi-task framework which exploits the inherent correlation between detection and alignment to boost up their performance. In particular, our framework leverages a cascaded architecture with three stages of carefully designed deep convolutional networks to predict face and landmark location in a coarse-to-fine manner. In addition, we propose a new online hard sample mining strategy that further improves the performance in practice. Our method achieves superior accuracy over the state-of-th... | |
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www.wjst.de
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| | | | | But let your communication be Yea, yea; Nay, nay. For whatsoever is more than these cometh of evil. | |
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ajolicoeur.wordpress.com
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| | | | | Paper / Code Since AlexNet showed the world the power of deep learning, the field of AI has rapidly switched to almost exclusively focus on deep learning. Some of the main justifications are that 1) neural networks are Universal Function Approximation (UFA, not UFO ??), 2) deep learning generally works the best, and 3) it... | |
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blog.evjang.com
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| | | This is a tutorial on common practices in training generative models that optimize likelihood directly, such as autoregressive models and ... | ||
