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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 ...
To improve the performance of an existing deep learning object detection framework, an infrared image and deep learning based marine target detection method is presented by introducing the Global ...
Dynamic sampling can help optimize the conversion of videos into sampled still image sequences for optimized analysis and even non-consumptive "video ngrams." Newsletters Games Share a News Tip ...
The object detection network is trained on the annotated data until it can find regions in images that correspond to each kind of object. Now let’s look at a few object-detection neural network ...
The new solution speeds the deep-learning object-detection system by as many as 100 times, yet has outstanding accuracy. The advance is outlined in Spatial Pyramid Pooling in Deep Convolutional ...
Bolstering the safety of self-driving cars with a deep learning-based object detection system. ScienceDaily . Retrieved May 13, 2025 from www.sciencedaily.com / releases / 2022 / 12 / 221212140800.htm ...
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.