PFDet: 2nd Place Solution to Open Images Challenge 2018 Object Detection Track
Not on the map. Why?
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.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 4 Sep 2018.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2021: 1.
1 paper.
- 2021Multimodal Object Detection via Probabilistic Ensemblingcited by 68
- 2021Multimodal Object Detection via Probabilistic Ensembling7 Apr 2021