Hi everyone, is there any known set of hyperparameters for training a diffusion model on CIFAR10 or any other famous datasets primarily for reconstruction loss ? submitted by /u/sidney_lumet [link] [comments]

Title says it all. submitted by /u/darkknight-6 [link] [comments]

Vision Transformers Need Registers Timothée Darcet, Maxime Oquab, Julien Mairal, Piotr Bojanowski Abstract: Transformers have recently emerged as a powerful tool for learning visual representations. In this paper, we identify and characterize artifacts in feature maps of both supervised and self-supervised ViT networks. The artifacts correspond to...

I am working on a project that requires a neural network Inputs :Process parameters: P1, P2,P 3 (Range10s,100s) Outputs: O1,O2 , Image (100x200 Array [Range 0:90]) Can anyone recommend the most suitable neural network architecture for this scenario? (illustrated in the image) . I have previously utilized MLP for regression and CNN for calculating...

Maybe a stupid trivia question, but I can't figure it out. ML calls features features, stats calls features predictors, math calls features variables, engineering calls features variables too. I know what they are, but WHY do we call them features? Does anyone know the origin story? submitted by /u/FirefoxMetzger [link] [comments]

hello everyone, any kind of insight and info is appreciated. i wanted to work on a project - "staff/employee productivity monitoring with CCTV footage". But i am pretty new to this, and dont know how to effectively tackle the problem. let me brief the problem, Firstly i need to detect specific motion of an employee to flag as working and not working,...