Cross-domain learning using optimized pseudo labels: toward adaptive car detection in different weather conditions and urban cities

Convolutional neural networks based object detection usually assumes that training and test data have the same distribution, which, however, does not always hold in real-world applications. In autonomous vehicles, the driving scene (target domain) consists of unconstrained road environments which ca...

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