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SELF-SUPERVISED OBJECT DETECTOR TRAINING USING RAW AND UNLABELED VIDEOS
SELF-SUPERVISED OBJECT DETECTOR TRAINING USING RAW AND UNLABELED VIDEOS
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机译:使用原始和未标记视频进行自我监督的对象探测器培训
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摘要
An example system includes a processor to receive raw and unlabeled videos. The processor is to extract speech from the raw and unlabeled videos. The processor is to extract positive frames and negative frames from the raw and unlabeled videos based on the extracted speech for each object to be detected. The processor is to extract region proposals from the positive frames and negative frames. The processor is to extract features based on the extracted region proposals. The processor is to cluster the region proposals and assign a potential score to each cluster. The processor is to train a binary object detector to detect objects based on positive samples randomly selected based on the potential score.
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