To address these issues, we propose a matching recognition algorithm that combines OpenStreetMap (OSM) data with high-resolution RS imagery. Segmentation methods such as eCognition, the edge-guided ...

The increase in precision agriculture has promoted the development of picking robot technology, and the visual recognition ...

Key considerations for discovery in AI-focused intellectual property (IP) litigation, including an examination of a hypothetical patent infringement and trade secret misappropriation case on highly ...

Object detection in autonomous driving scenarios represents a significant research direction within artificial intelligence. Real-time and accurate object detection and recognition are crucial in ...

LLaMA-Unidetector consists of a two-stage algorithm, namely object localization and foreground recognition. Therefore, virtual environments were established respectively for the two stages.

Underwater object detection currently faces many challenges, such as the large number of parameters in existing object detection models, slow inference speed, blurring of underwater images, and ...

Some frequent uses of object detection include self-driving automobiles, object tracking, face detection and identification, robotics, and license plate recognition. First, let’s have a peek at the ...

For object detection algorithms, too few features lead to missed detection; at the same time, affected by the background of the water surface (Fefilatyev et al., 2012), the tracking algorithm will ...