Introduction

Some introduction

Scalable Active Learning for Object Detection

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Some text

Localization-Aware Active Learning for Object Detection

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We don't need no bounding-boxes: Training object class detectors using only human verification

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Active Learning for Deep Detection Neural Networks

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An Adaptive Supervision Framework for Active Learning in Object Detection

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Bounding Box Regression with Uncertainty for Accurate Object Detection

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Deep active learning for object detection

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BayesOD: A Bayesian Approach for Uncertainty Estimation in DeepObject Detectors

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Active Learning with Multiple Views

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MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object Detection

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Conclusion

Some introduction