Earlier this year, FIG published the book titled LADM in the Classroom. In the style of that book, this article gives an ...
Binary classification is a type of image classification where you essentially train a model on two different labelled objects ...
Abstract: Traditional closed-world object detection methods are limited to a predefined set of classes and struggle to recognize objects beyond these boundaries. This work proposes an improved ...
Abstract: In recent years, Large Language Models (LLMs) have been extensively used in several Software Engineering tasks, from requirements analysis to coding and software testing. Research has proved ...
Deploy this example to create a 3D object reconstruction workflow that transforms stereo video input into high-quality 3D assets using state-of-the-art computer vision and neural rendering techniques.