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1. Location-aware-Upsampling-for-Semantic-Segmentation Location-aware-Upsampling-for-Semantic-Segmentation Public

   The Pytorch implementation of "Location-aware Upsampling for Semantic Segmentation" (LaU)

   Jupyter Notebook 52 9

2. OISR-PyTorch OISR-PyTorch Public

   PyTorch implementation of "ODE-inspired Network Design for Single Image Super-Resolution"(CVPR2019)

   Python 134 31

3. ShuffleNet-An-Extremely-Efficient-CNN-for-Mobile-Devices-Caffe-Reimplementation ShuffleNet-An-Extremely-Efficient-CNN-for-Mobile-Devices-Caffe-Reimplementation Public

   Caffe re-implementation of ShuffleNet

   C++ 106 38

4. CNN-Inference-Engine-Quick-View CNN-Inference-Engine-Quick-View Public

   A quick view of high-performance convolution neural networks (CNNs) inference engines on mobile devices.

   151 18

5. Training-Tricks-for-Binarized-Neural-Networks Training-Tricks-for-Binarized-Neural-Networks Public

   The collection of training tricks of binarized neural networks.

   71 11

6. ResNet-18-Caffemodel-on-ImageNet ResNet-18-Caffemodel-on-ImageNet Public

   ResNet-18 Caffemodel @ilsvrc12 shrt 256 with Top-1 69% Top-5 89%

   190 198