Machines are rapidly gaining the ability to perceive, interpret and interact with the visual world in ways that were once ...

Object classification, detection, and segmentation One of the key reasons for the growing interest in machine learning systems is the problems they can solve in computer vision .

A new AI model, H-CAST, groups fine details into object-level concepts as attention moves from lower to high layers, outputting a classification tree—such as bird, eagle, bald eagle—rather ...

“That’s why we’re introducing FACET, a new comprehensive benchmark for evaluating the fairness of computer vision models across classification, detection, instance segmentation and visual ...

Setting aside FACET’s potentially problematic origins, Meta says that the benchmark can be used to probe classification, detection, “instance segmentation” and “visual grounding” models ...

This thesis delves into the exploration of the ViT and Swin models for breast cancer classification using cytological images, contributing to the broader objective of enhancing early detection and ...

Understand the Pinhole Camera Model, a simplified optical system that forms the basis for many computer vision applications, alongside the Intrinsic Matrix, which captures the internal parameters of ...