Download AFLW dataset (positive) and COCO dataset (negative) for training. Any other dataset can be used instead of COCO datset for negative one. Download FDDB dataset for testing. Run data_parse.py ...
SNNS (Stuttgart Neural Network Simulator) is a software simulator for neural networks on Unix workstations developed at the Institute for Parallel and Distributed High Performance Systems (IPVR) at ...
Deep neural networks will allow signal transfer of nerve cells to be analyzed in real time in the future. That is the result ...
Image Segmentation,Training Set,Bi-directional Cascade,Bi-directional Cascade Network,Bidirectional Network,Cascade Network,Compact Network,Convolutional Layers,Convolutional Neural Network,Deep ...
Gain Control,Cascade Control,Control Network,Control System,Event-triggered Scheme,Lyapunov Function,Networked Control Systems,Neural Network,Outer Loop,Primary Control,Secondary Control,Simulation ...
Download FDDB dataset for testing. Run data_parse.py in the dataGen folder before training and testing network. hard neg db to train 24-net: python hard_neg_mining.py 24 hard neg db to train 48-net: ...