Places: A 10 Million Image Database for Scene Recognition

@article{Zhou2018PlacesA1,
  title={Places: A 10 Million Image Database for Scene Recognition},
  author={Bolei Zhou and {\`A}gata Lapedriza and Aditya Khosla and Aude Oliva and Antonio Torralba},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2018},
  volume={40},
  pages={1452-1464}
}
The rise of multi-million-item dataset initiatives has enabled data-hungry machine learning algorithms to reach near-human semantic classification performance at tasks such as visual object and scene recognition. [] Key Method Using the state-of-the-art Convolutional Neural Networks (CNNs), we provide scene classification CNNs (Places-CNNs) as baselines, that significantly outperform the previous approaches. Visualization of the CNNs trained on Places shows that object detectors emerge as an intermediate…

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