VIPriors Object Detection Challenge

• URL: http://arxiv.org/abs/2007.08170v1
• Date: Thu, 16 Jul 2020 08:10:42 GMT
• Title: VIPriors Object Detection Challenge
• Authors: Zhipeng Luo, Lixuan Che
• Abstract summary: In this paper, we study analysis the characteristics of the data, and an effective data enhancement method is proposed. We benefit a lot from using softnms and model fusion skillfully.
• Score: 15.313954050744233
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: This paper is a brief report to our submission to the VIPriors Object Detection Challenge. Object Detection has attracted many researchers' attention for its full application, but it is still a challenging task. In this paper, we study analysis the characteristics of the data, and an effective data enhancement method is proposed. We carefully choose the model which is more suitable for training from scratch. We benefit a lot from using softnms and model fusion skillfully.

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