'Understanding human activity in images and/or videos is a fundamental step toward building socially aware agents, semantic image/video retrieval, captioning, and question-answering,' Huang said.

A new report assembles guidance on the testing and evaluation of machine-learning models for aerial object detection.

Image classification vs object detection. TinyML has made great progress in image classification, where the machine learning model must only predict the presence of a certain type of object in an ...

In fact, most object detection networks use an image classification CNN and repurpose it for object detection. Object detection is a supervised machine learning problem, which means you must train ...

Our deepfake detection prototype framework can ingest modes of data and detect at least three types of AI artifacts for each ...

Fig. 1: DETR transformer model compares its prediction with the ground truth. When there is no match, it would yield a “no object.” A match would validate an object. Source: “End-to-End Object ...

In a study published in the journal Information Systems Research, Texas Tech University's Shuo Yu and his collaborators ...

Human intelligence and intuition are vital to training artificial intelligence (AI) and machine learning (ML) models to provide enterprises with hybrid cybersecurity at scale.