4M: Massively Multimodal Masked Modeling, released by Apple in 2024, is a leap forward in the field of multimodal machine learning. This model, building upon the growing capabilities of large
In this blog post, we discuss what few-shot learning is, architectural approaches for implementing few-shot learning, and specific implementations of few-shot learning techniques.
Learn what Optical Character Recognition is, what problems can be solved with OCR, and explore the approaches used by OCR algorithms to identify characters.
In this guide, we discuss what keypoint detection is, common architectures used for keypoint detection, and the high-level steps to build a keypoint detection model.
In this guide, we discuss what dataset distillation is, the methods through which a dataset can be distilled, and the applications of distilled datasets in computer vision.
In this guide, we discuss what knowledge distillation is, how it works, why knowledge distillation is useful, and the different methods of distilling knowledge from one model to another.
In this guide, we discuss what a Convolutional Neural Network (CNN) is, how they work, and discuss various different applications of CNNs in computer vision models.
