2SRNN

A collection of AWESOME things about domian adaptation

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.

A toolbox for skeleton-based action recognition.

Gesture recognition via CNN. Implemented in Keras + Tensorflow/Theano + OpenCV

A collection of implementations of deep domain adaptation algorithms

We present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)