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Object detection (e.g., face detection) using supervised learning often requires extensive training, resulting in long execution times. If the system requires retraining to accommodate a missed detection, waiting several hours or even days in some cases before the system is ready, may not be acceptable in practical implementations. This paper presents a generalized object detection framework such...
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