TTSDA-YOLO: A Two Training Stage Domain Adaptation Framework for Object Detection in Adverse Weather
Abstract: Object detection plays a crucial role in the fields of autonomous driving, security surveillance, unmanned aerial vehicle (UAV), and so on. However, the performance of detectors can be ...
Abstract: Adverse weather conditions significantly impact the performance of autonomous driving object detection systems, leading to reduced detection accuracy and an increased false detection rate.
Creating accurate machine learning models capable of localizing and identifying multiple objects in a single image remains a core challenge in computer vision. The TensorFlow Object Detection API is ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results