Augmenting RGB data with measured depth has been shown to improve the performance of a range of tasks in computer vision, including object detection and semantic segmentation. Although depth sensors ...

TMTPOST -- China is closing in on the U.S. in the AI industry-academia-research race, with new data shedding light on evolving talent flows, publication output, and shifting research focus across the ...

Moreover, we contribute to open-source initiatives in agricultural technology by generating bounding box annotations for the entire IP-102 and binary masks for the Agricultural Pests Image Dataset.

Let’s walk through some key considerations when it comes to implementing computer vision in the retail environment.

Trigo Vision Ltd., a leading provider of computer vision AI technology, today announces the launch of its AI-driven loss prevention solution. The solution addresses the growing challenges of ...

Images generated by artificial intelligence (AI) are often almost indistinguishable from real images to the human eye.

While humans concentrate on the meaning of objects, artificial intelligence focuses on visual characteristics.

Binunya, F. and Zhou, H. (2025) Multilingual Text Recognition and Assistance for Low-Resource Languages Using Computer Vision. Open Access Library Journal, 12, 1-20. doi: 10.4236/oalib.1113574 .

Tesla Vision an end-to-end computer vision system built with NVIDIA’s CUDA, a parallel computing platform by the graphics processing unit (GPU) maker. The software powers the latest generation ...

The last decade has witnessed significant advances in semantic segmentation brought about by deep learning. However, existing methods only fit the data-label correspondence in a data-driven manner and ...