68 citations · 68 across the 1 of their papers we have counts for
2 papers
cs.CV2019★ 68 cited
Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research
Krishna Murthy Jatavallabhula, Edward Smith, Jean-Francois Lafleche +6
We present Kaolin, a PyTorch library aiming to accelerate 3D deep learning research. Kaolin provides efficient implementations of differentiable 3D modules for use in deep learning…
cs.CV2017
Residual Parameter Transfer for Deep Domain Adaptation
Artem Rozantsev, Mathieu Salzmann, Pascal Fua
The goal of Deep Domain Adaptation is to make it possible to use Deep Nets trained in one domain where there is enough annotated training data in another where there is little or n…