Training Computer Vision Models on Random Noise Instead of Real Images

2021-12-09 Martin Anderson

Researchers from MIT Computer Science & Artificial Intelligence Laboratory (CSAIL) have experimented with using random noise images in computer vision datasets to train computer vision models , and have found that instead of producing garbage, the method is surprisingly effective