Learning Region Features for Object Detection

Jiayuan Gu, Han Hu, Liwei Wang, Yichen Wei, Jifeng Dai

ECCV 2018

doi:10.1007/978-3-030-01258-8_24 /eccv/2018/gu2018eccv-learning/

Abstract

While most steps in the modern object detection methods are learnable, the region feature extraction step remains largely hand-crafted, featured by RoI pooling methods. This work proposes a general viewpoint that unifies existing region feature extraction methods and a novel method that is end-to-end learnable. The proposed method removes most heuristic choices and outperforms its RoI pooling counterparts. It moves further towards emph{fully learnable object detection}.

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Cite

Text

Gu et al. "Learning Region Features for Object Detection." Proceedings of the European Conference on Computer Vision (ECCV), 2018. doi:10.1007/978-3-030-01258-8_24

Markdown

[Gu et al. "Learning Region Features for Object Detection." Proceedings of the European Conference on Computer Vision (ECCV), 2018.](https://mlanthology.org/eccv/2018/gu2018eccv-learning/) doi:10.1007/978-3-030-01258-8_24

BibTeX

@inproceedings{gu2018eccv-learning,
  title     = {{Learning Region Features for Object Detection}},
  author    = {Gu, Jiayuan and Hu, Han and Wang, Liwei and Wei, Yichen and Dai, Jifeng},
  booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
  year      = {2018},
  doi       = {10.1007/978-3-030-01258-8_24},
  url       = {https://mlanthology.org/eccv/2018/gu2018eccv-learning/}
}