Abstract: Intelligent detection of locomotive signal lights and pedestrians on railway tracks is of great significance to the safe operation of locomotives, especially under bad illumination ...
Abstract: In recent years, rapid advancements in hardware and deep learning technologies have paved the way for the extensive integration of image recognition and object detection into daily ...
At present, in the field of cherry recognition, problems such as dense fruit growth and frequent occlusions of branches and leaves affect the accuracy of the recognition process. To address these ...
Frigate, one of the most popular open-source options for home IP camera management, just released a massive update. Frigate 0.16 now has better object detection, license plate recognition, view-only ...
The first five years (2019–2024) of operations of The Ocean Cleanup's Automated Debris Imaging System (ADIS) have been ...
Object Detection STM32N6 Model Deployment This tutorial demonstrates how to deploy a pre-trained object detection model built with quantized tflite or ONNX QDQ on an STM32N6 board using STEdgeAI.
Another line of work focuses on improving localization accuracy and robustness near object boundaries. Boundary-aware segmentation and detection methods introduce explicit boundary branches or edge ...
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