YOLOV: Making Still Image Object Detectors Great at Video Object Detection
时间: 2024-04-25 17:23:23 浏览: 21
YOLOV是一种使静止图像对象检测器在视频对象检测中表现出色的方法。它通过将视频序列的每一帧输入到静止图像对象检测器中来处理。然而,与传统的方法不同,YOLOV利用跨帧的时间信息,以减少单个图像中出现的模糊性。这种方法可以提高视频对象检测的准确性和效率。\[1\]
此外,还有一些其他的对象检测挑战赛,如Open Images Object Detection Challenge和COCO object detection challenge。Open Images Object Detection Challenge提供了比以往更广泛的对象类别,并包括边界框对象检测和视觉关系检测两个任务。而COCO object detection challenge旨在推动通用对象检测技术的发展,它包含了边界框输出和对象实例分割输出两个任务,并且具有更多的对象实例和更准确的对象定位评估指标。\[2\]\[3\]
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