IEEE

Learn From Examples: In-Context Learning for Camouflaged Object Detection

Abstract: Recently, new paradigms of camouflaged object detection (COD), such as referring COD (Ref-COD) and collaborative COD (Co-COD), have been proposed to enhance task performance. However, there ...
Smithsonian Magazine

We’re Celebrating What’s Special About Your Corner of the United States. Our New Postcards Are Something to Write Home About

The launch of our new postcard designs offer an opportunity for you to learn about your special part of the United States, ...

What Banking Can Learn From Retail’s First-Party Data Playbook

Learn more. This voice experience is generated by AI. Learn more. ​Banks see the swipe, but retail sees the basket. That gap ...
IEEE

Deep Learning for Credit Card Fraud Detection: A Review of Algorithms, Challenges, and Solutions

Abstract: Deep learning (DL), a branch of machine learning (ML), is the core technology in today’s technological advancements and innovations. Deep learning-based approaches are the state-of-the-art ...
Purdue University

Outcomes and Objectives

Learning outcomes and objectives are the fundamental elements of most well-designed courses. Well-conceived outcomes and objectives serve as guideposts to help instructors work through the design of a ...