Surprisingly, the training increased accuracy by similar amounts in super recognizers and typical recognizers, Gray said.

From up-close insect duets to cosmic wonders and dramatic wildlife encounters, these prize-winning images capture this year's ...

Abstract: The consumption of image data by machines is rapidly increasing due to the growing adoption of image recognition technologies. This trend has accelerated research in image compression ...

Want the best camera for photography? Here are the best for all genres of stills shooting: from portraits to landscapes, wildlife, street, macro and more. The post The best cameras for photography in ...

For people, matching what they see on the ground to a map is second nature. For computers, it has been a major challenge. A ...

Capital flows to brands that win across direct-to-consumer, retail, and digital platforms—and understand that sustainable ...

Abstract: LiDAR-based place recognition contributes significantly to identifying loop closure candidates for long-term simultaneous localization and mapping (SLAM) systems and obtaining global ...

More than 2 out of 3 Romanian consumers do not return for a second purchase, according to the new Customer Loyalty Index, a comprehensive analysis based on aggregated data from campaigns and authored ...

This project aims to create a deep learning model from scratch using PyTorch to be able to classify images of the American Sign Language (ASL) alphabet. The goal is for it to be able to accurately and ...