As artificial intelligence (AI) rapidly grows—a recent UN Trade and Development report projects the global AI market soaring ...

A new imaging technique developed by MIT researchers could enable quality-control robots in a warehouse to peer through a ...

Transfer learning enhances CNNs by allowing a model trained on a large dataset to be fine-tuned for a specific task. Transfer learning significantly reduces training time and resources, especially for ...

Deep learning technologies are contributing to substantial innovations in the field of object detection. While Convolutional Neural Networks (CNN) have laid a solid foundation, new models such as You ...

Object detection in aerial images based on deep learning requires a large amount of labeled data, whereas manual annotation of aerial images is time-consuming and laborious. As a branch of machine ...

In this study, six groups of images taken by different UAVs with different sensors in different seasons were selected as test objects, as shown in Figure 1. Due to the large size of the original image ...

When a sampling rate of 5% was used, the average time to complete spatial light modulation and image-free object detection per scene with SPOD was just 0.016 seconds.