Contrastive Learning for Unpaired Image-to-Image Translation

Contrastive learning has provided a huge boost in self-supervised representation learning. This paper shows that this can even improve other self-supervised learning algorithms, like generative models in the GAN framework. I am really excited about how image to image translation networks can be used for domain similarity analysis. Thanks for watching! Please Subscribe! Paper Links: Contrastive Unpaired Translation (contains code, video, website, and paper link): https://ift.tt/39P6UBD Contrastive Predictive Coding: https://ift.tt/2SUqOTJ SinGAN: https://ift.tt/2WnPSG5 EfficientDet: https://ift.tt/2xQJ7m7 Feature Pyramid Networks for Object Detection: https://ift.tt/2sI9Z08 Don't Stop Pretraining: https://ift.tt/2WEdjdt CycleGAN: https://ift.tt/2opD3rk SimCLR: https://ift.tt/31TZZTM MoCo: https://ift.tt/2pggQ4i On the Measure of Intelligence: https://ift.tt/36TesBG