VIPriors Object Detection Challenge
This is an incremental improvement for researchers in object detection, focusing on a specific challenge dataset.
The authors tackled the VIPriors Object Detection Challenge by proposing an effective data enhancement method and selecting a model suitable for training from scratch, achieving benefits from using softnms and model fusion, though no concrete numbers are provided.
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.