no code implementations • 22 Apr 2022 • Si Yang, Lihua Zheng, Xieyuanli Chen, Laura Zabawa, Man Zhang, Minjuan Wang
In the first step, we finetune an instance segmentation network pretrained by a source domain (MS COCO dataset) with a synthetic target domain (in-vitro soybean pods dataset).
no code implementations • 21 May 2021 • Jana Kierdorf, Immanuel Weber, Anna Kicherer, Laura Zabawa, Lukas Drees, Ribana Roscher
In this article, we present a method that addresses the challenge of occluded berries with leaves to obtain a more accurate estimate of the number of berries that will enable a better estimate of the harvest.
no code implementations • 29 Apr 2020 • Laura Zabawa, Anna Kicherer, Lasse Klingbeil, Reinhard Töpfer, Heiner Kuhlmann, Ribana Roscher
The experiments presented in this paper show that we are able to detect green berries in images despite of different training systems.
no code implementations • 1 May 2019 • Laura Zabawa, Anna Kicherer, Lasse Klingbeil, Andres Milioto, Reinhard Töpfer, Heiner Kuhlmann, Ribana Roscher
We count single berries in images to avoid the error-prone detection of grapevine clusters.