DefuseRNN - Recurrent CV models

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.

Supported Models (Paper links)

Current Status

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.

Name		Name	Last commit message	Last commit date
Latest commit History 28 Commits
alternative_models		alternative_models
.gitignore		.gitignore
README.md		README.md
__init__.py		__init__.py
bidi_lstm.py		bidi_lstm.py
conv_lstm.py		conv_lstm.py
md_lstm.py		md_lstm.py
pyramid_lstm.py		pyramid_lstm.py
renet_layer.py		renet_layer.py
renet_layer_learnable_init.py		renet_layer_learnable_init.py
renet_layer_v2.py		renet_layer_v2.py
renet_layer_weightNorm.py		renet_layer_weightNorm.py
renet_layer_window_normed.py		renet_layer_window_normed.py
stacked_SRU_renet_layer.py		stacked_SRU_renet_layer.py
stacked_renet_layer.py		stacked_renet_layer.py
stacked_renet_layer_bn.py		stacked_renet_layer_bn.py
stacked_renet_layer_learnable_init_v2.py		stacked_renet_layer_learnable_init_v2.py
stacked_renet_layer_slim.py		stacked_renet_layer_slim.py
stacked_renet_layer_v2.py		stacked_renet_layer_v2.py
utils.py		utils.py

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DefuseRNN - Recurrent CV models

Supported Models (Paper links)

Current Status

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