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Academia Sinica’s YOLOv7 Outperforms All Object Detectors, Reduces Costs by 50%
July 12, 2022, 3:30 p.m. | Synced
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In the new paper YOLOv7: Trainable Bag-Of-Freebies Sets New State-Of-The-Art for Real-Time Object Detectors, an Academia Sinica research team releases YOLOv7. This latest YOLO version introduces novel “extend” and “compound scaling” methods that effectively utilize parameters and computation; and surpasses all known real-time object detectors in speed and accuracy.
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academia ai artificial intelligence computer vision & graphics costs deep-neural-networks machine learning machine learning & data science ml object-detection popular research technology yolo yolov7
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