Nature

A study on infrared-visible fusion multimodal object detection algorithm based on cross-modal information bottleneck and minimum redundancy transformation

Infrared-visible multimodal object detection plays a vital role in complex environmental conditions. However, existing approaches still suffer from significant limitations in modality redundancy ...
Nature

Image tampering detection based on RDS-YOLOv5 feature enhancement transformation

As one of the important ways for human beings to perceive and understand the world, images have gradually been integrated into all aspects of our daily life. With the vigorous development of science ...
The Next Web

Here’s how deep learning helps computers detect objects

Deep neural networks have gained fame for their capability to process visual information. And in the past few years, they have become a key component of many computer vision applications. Among the ...
VentureBeat

Overview of deep learning architectures computers use to detect objects

Deep neural networks have gained fame for their capability to process visual information. And in the past few years, they have become a key component of many computer vision applications. Among the ...