Research Scientist at FAIR. KaimingHe has 3 repositories available. Follow their code on GitHub. ... <看更多>

Kaiming He. Research Scientist at Facebook AI Research. FacebookTsinghua University. Menlo Park, California, United States34 connections. ... <看更多>

Kaiming He's 108 research works with 240686 citations and 130027 reads, including: Masked Autoencoders Are Scalable Vision Learners. ... <看更多>

Kaiming He 也在使用Facebook。加入Facebook，與Kaiming He 及其他你可能認識的朋友聯絡。Facebook 讓人們盡情分享，將這個世界變得更開闊、聯絡更緊密。 ... <看更多>

Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick. IEEE International Conference on Computer Vision (ICCV), 2017. Focal Loss for Dense Object ... ... <看更多>

For dense layers the kaiming-he initialization is like this : np.random.randn(fanin,fanout)/np.sqrt(fanin/2). How do we do the same for conv ... ... <看更多>

Bio: Dr. Kaiming He is a Research Scientist at Facebook AI Research (FAIR) as of August 2016. Before that, he was a Lead Researcher at Microsoft Research ... ... <看更多>

Uniform Kaiming He probability distribution function is used for initialization of weights in Convolutional neural networks in PyTorch and ... ... <看更多>