A great example of how domain-specific knowledge can help design network architecture, in this case helping them make the jump from supervised learning (where training data may be difficult or time-consuming to acquire) to unsupervised learning (where training data is often plentiful). Modern 3D human pose estimation techniques rely on deep networks, which require large…Read More
Tag: unsupervised learning
Deep Unsupervised Intrinsic Image Decomposition by Siamese Training
Intrinsic image decomposition means splitting the observed color of a scene into its underlying components, such as illumination and reflectance. Once this process has been performed the layers can be manipulated independently before being recomposed to recreate a modified scene. What’s particularly interesting about this work is that it uses unsupervised training, which by definition…Read More