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May 10, 2020 · The network design is intentionally simple, which enables this work to focus on a novel focal loss function that eliminates the accuracy gap between our one-stage detector and state-of-the-art two-stage detectors like Faster R-CNN with FPN while running at faster speeds.
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Focal loss is a key technique in making one stage detectors accurate. Back in 2018, the performance of one-stage detectors was lacking way behind 2 stage...
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Hands-On Gradient Boosting with XGBoost and scikit-learn: Perform accessible Python machine learning and extreme gradient boosting with Python | Corey Wade | download | Z-Library.
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这篇文章主要介绍了sklearn的predict_proba使用说明，具有很好的参考价值，希望对大家有所帮助。 ... 10 Pytorch 实现focal_loss ...