DiscrimNet: Semi-Supervised Action Recognition from Videos using Generative Adversarial Networks

arXiv: Computer Vision and Pattern Recognition, Volume abs/1801.07230, 2018.

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Abstract:

We propose an action recognition framework using Gen- erative Adversarial Networks. Our model involves train- ing a deep convolutional generative adversarial network (DCGAN) using a large video activity dataset without la- bel information. Then we use the trained discriminator from the GAN model as an unsupervised pre-training step and fi...More

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