PFDet: 2nd Place Solution to Open Images Challenge 2018 Object Detection Track.

Takuya Akiba,Tommi Kerola,Yusuke Niitani,Toru Ogawa,Shotaro Sano,Shuji Suzuki

arXiv: Computer Vision and Pattern Recognition（2018）

引用 24|浏览14

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摘要

We present a large-scale object detection system by team PFDet. Our system enables training with huge datasets using 512 GPUs, handles sparsely verified classes, and massive class imbalance. Using our method, we achieved 2nd place in the Google AI Open Images Object Detection Track 2018 on Kaggle.

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