FenceTalk: Exploring False Negatives in Moving Object Detection
Yun-Wei Lin,
Yuh-Hwan Liu,
Yi-Bing Lin
et al.
Abstract:Deep learning models are often trained with a large amount of labeled data to improve the accuracy for moving object detection in new fields. However, the model may not be robust enough due to insufficient training data in the new field, resulting in some moving objects not being successfully detected. Training with data that is not successfully detected by the pre-trained deep learning model can effectively improve the accuracy for the new field, but it is costly to retrieve the image data containing the movi… Show more
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