CompSci Weekend SuperThread (October 02, 2020) Computer Science |
- CompSci Weekend SuperThread (October 02, 2020)
- Some more fun with recursive image transformations. Flips and rotations! Source code in comments!
- Mobile Technology High Device
- Visualizing the bead sort algorithm
- [R] EvolGAN Boosts Image Quality for Small or Difficult Datasets
CompSci Weekend SuperThread (October 02, 2020) Posted: 01 Oct 2020 06:04 PM PDT /r/compsci strives to be the best online community for computer scientists. We moderate posts to keep things on topic. This Weekend SuperThread provides a discussion area for posts that might be off-topic normally. Anything Goes: post your questions, ideas, requests for help, musings, or whatever comes to mind as comments in this thread. Pointers
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Some more fun with recursive image transformations. Flips and rotations! Source code in comments! Posted: 01 Oct 2020 02:40 PM PDT |
Posted: 02 Oct 2020 12:10 AM PDT |
Visualizing the bead sort algorithm Posted: 01 Oct 2020 11:43 PM PDT |
[R] EvolGAN Boosts Image Quality for Small or Difficult Datasets Posted: 01 Oct 2020 11:45 AM PDT GAN models however require massive amounts of training data to reach decent performance. In an effort to make GANs more effective and reliable when only small, difficult, or multimodal datasets are available, a group of researchers from Facebook AI, University of the Littoral Opal Coast, University of Grenoble and University of Konstanz have proposed Evolutionary Generative Adversarial Networks (EvolGAN). Here is a quick read: EvolGAN Boosts Image Quality for Small or Difficult Datasets The paper EvolGAN: Evolutionary Generative Adversarial Networks is on arXiv. [link] [comments] |
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