Timo Sämann's repositories

ENet

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

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.

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SegNet-Tutorial

Files for a tutorial to train SegNet for road scenes using the CamVid dataset

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STFCN

Spatio-Temporal Fully Convolutional Neural Netwroks For Semantic Segmentation

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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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