2nd Place Solution to ECCV 2020 VIPriors Object Detection Challenge

• URL: http://arxiv.org/abs/2007.08849v1
• Date: Fri, 17 Jul 2020 09:21:29 GMT
• Title: 2nd Place Solution to ECCV 2020 VIPriors Object Detection Challenge
• Authors: Yinzheng Gu, Yihan Pan, Shizhe Chen
• Abstract summary: We show that by using state-of-the-art data augmentation strategies, model designs, and post-processing ensemble methods, it is possible to overcome the difficulty of data shortage and obtain competitive results. Our overall detection system achieves 36.6$%$ AP on the COCO 2017 validation set using only 10K training images without any pre-training or transfer learning weights ranking us 2nd place in the challenge.
• Score: 24.368684444351068
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: In this report, we descibe our approach to the ECCV 2020 VIPriors Object Detection Challenge which took place from March to July in 2020. We show that by using state-of-the-art data augmentation strategies, model designs, and post-processing ensemble methods, it is possible to overcome the difficulty of data shortage and obtain competitive results. Notably, our overall detection system achieves 36.6$\%$ AP on the COCO 2017 validation set using only 10K training images without any pre-training or transfer learning weights ranking us 2nd place in the challenge.

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