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Flow-guided Feature Aggregation for Video Object Detection

Introduction

[ALGORITHM]

@inproceedings{zhu2017flow,
  title={Flow-guided feature aggregation for video object detection},
  author={Zhu, Xizhou and Wang, Yujie and Dai, Jifeng and Yuan, Lu and Wei, Yichen},
  booktitle={Proceedings of the IEEE International Conference on Computer Vision},
  pages={408--417},
  year={2017}
}

Results and models on ImageNet VID dataset

We observe around 1 mAP fluctuations in performance, and provide the best model.

Backbone Style Lr schd Mem (GB) Inf time (fps) box AP@50 Config Download
R-50-DC5 pytorch 7e 4.10 6.9 74.7 config model | log
R-101-DC5 pytorch 7e 5.80 6.4 77.8 config model | log
X-101-DC5 pytorch 7e 9.74 - 79.6 config model | log