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

arXiv: https://arxiv.org/abs/1809.00778 · HTML: https://mlsanity.com/paper/1809.00778/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 4 Sep 2018.

## Built on by (most cited first, 1 of 1)

- [Multimodal Object Detection via Probabilistic Ensembling](https://mlsanity.com/paper/2104.02904/) (2021)

## Abstract (arXiv)

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.
