计算机视觉与深度学习代码汇总

论文:Generative Adversarial Networks
链接:https://arxiv.org/abs/1406.2661
代码实现:https://github.com/bstriner/keras-adversarial

论文:You Only Look Once: Unified, Real-Time Object Detection
链接:https://pjreddie.com/media/files/papers/yolo.pdf
代码实现:https://github.com/allanzelener/YAD2K

论文:Aggregated Residual Transformations for Deep Neural Networks
链接:https://arxiv.org/pdf/1611.05431.pdf
代码实现:https://github.com/titu1994/Keras-ResNeXt

论文:FocalLoss (2018)
代码实现:https://github.com/miraclewkf/FocalLoss-MXNet

论文:SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
链接:https://arxiv.org/abs/1511.00561
代码实现:https://github.com/imlab-uiip/keras-segnet

论文:SQUEEZENET: ALEXNET-LEVEL ACCURACY WITH 50X FEWER PARAMETERS AND <0.5MB MODEL SIZE
链接:https://arxiv.org/abs/1602.07360
代码实现:https://github.com/rcmalli/keras-squeezenet

论文:Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
链接:https://arxiv.org/abs/1506.01497
代码实现:https://github.com/yhenon/keras-frcnn

参考链接

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