Author: Brian B. Moser
The project provides an implementation of recurrent models (listed below) applied to computer vision problems like image classification or object recognition. The implementation is in PyTorch.
Complete:
- ReNet (optimized)
Paper results for
- ReNet (CIFAR10, SVHN)
- MD-LSTM (Clean MNIST Seg)
- ConvLSTM (Moving MNIST)
Currently: All other models (not ReNet) need to be optimized.