一文读懂自动驾驶数据闭环



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1)用于配置评估(对于评估者);
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2)用于配置生成(用于优化器);
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3) 用于动态配置的自适应。
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“Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks”
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“Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results“
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“Self-training with Noisy Student improves ImageNet classification“
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“Unbiased Teacher for Semi-Supervised Object Detection“

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“Pseudoseg: Designing Pseudo Labels For Semantic Segmentation“

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“Semantic Segmentation of 3D LiDAR Data in Dynamic Scene Using Semi-supervised Learning“

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“ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection“

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“3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection“

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“SimCLR-A Simple framework for contrastive learning of visual representations“
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“Momentum Contrast for Unsupervised Visual Representation Learning“
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“Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning“
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“Deep Clustering for Unsupervised Learning of Visual Features“
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“Unsupervised Learning of Visual Features by Contrasting Cluster Assignments“
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