cv toys / validation on models implementation of different models on mxnet (with python or c++ api).
basic GAN for hand writing digits from mnist dataset
TODO
Yolo v3, implemented in MxNet and TensorFlow. TensorFlow version add IoU and GIoU as loss function.
TODO
TODO
Light weighted saliency detection with effort to reduce both modle size and runtime memory, implemented in Pytorch and MxNet.
VGG16 backbone and inception module + dilation conv at output layers, implemented in Pytorch
Generative Adversarial Nets for saliency prediction. Using GANs for saliency prediction is kind of nonesense, but implemented anyway, in Pytorch.