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,...

📚 Research paper: http://arxiv.org/abs/2405.04532v1 🤔 Why?: Existing INT4 quantization techniques failing to deliver performance gains in large-batch, cloud-based language model serving due to significant runtime overhead on GPUs. 💻 How?: The research paper proposes a new quantization algorithm, QoQ, which stands for quattuor-octo-quattuor, that uses...