Timo Sämann's repositories
caffe-segnet-cudnn5
This repository was a fork of BVLC/caffe and includes the upsample, bn, dense_image_data and softmax_with_loss (with class weighting) layers of caffe-segnet (https://github.com/alexgkendall/caffe-segnet) to run SegNet with cuDNN version 5.
SegNet-Tutorial
Files for a tutorial to train SegNet for road scenes using the CamVid dataset
netwarp_public
Semantic Video CNNs through Representation Warping. ICCV 2017
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pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
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