Stars
Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.
Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks
This repository implements a demo of the networks described in "How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)" paper.
Multi-Scale Dense Networks for Resource Efficient Image Classification (ICLR 2018 Oral)
code for "Fast Patch-based Style Transfer of Arbitrary Style".
Code to test and use the model from "Stacked Hourglass Networks for Human Pose Estimation"
This code implements a demo of the Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources paper by Adrian Bulat and Georgios Tzimiropoulos.
Depth-Preserving Style Transfer