Throughout the book, you'll work through recipes that implement a variety of tasks, such as facial recognition and detection ... objects in images using machine learning techniques Reconstruct a 3D ...

Coordinating complicated interactive systems, whether it's the different modes of transportation in a city or the various ...

reinforcement learning, and reward modeling. At the heart of this innovation lies Deepseek GRM, an AI judge carefully designed to evaluate responses with unparalleled precision and adaptability.

A year ago, I wrote a piece here about how people were really using gen AI. That article seemed to hit a note: It was popular, featured in viral posts, and the beautiful accompanying infographic ...

This project focuses on building a deep ... transfer learning with powerful CNN architectures and provides a Streamlit-based web interface for real-time predictions. The deployed model aims to assist ...

Abstract: The objective of few-shot object detection (FSOD) is to detect novel objects with ... sample viewpoints and formulate a novel generalized feature representation learning method for FSOD.

Abstract: Existing unsupervised salient object detection ... images through a contrastive learning framework. To this end, we propose a Contrastive Saliency Network (CSNet), which is a prior-free and ...