Minimizing Labeling Effort for Tree Skeleton Segmentation using an Automated Iterative Training Methodology

no code implementations • 16 Oct 2020 • Keenan Granland, Rhys Newbury, David Ting, Chao Chen

It is shown that in our application, the new Automating-the-Loop method greatly reduces the labeling effort while producing comparable performance to both human-in-the-loop and complete manual labeling methods.

Segmentation Semantic Segmentation

Semantic Segmentation for Partially Occluded Apple Trees Based on Deep Learning

no code implementations • 14 Oct 2020 • Zijue Chen, David Ting, Rhys Newbury, Chao Chen

DeepLabv3 outperforms the other models at Binary accuracy, Mean IoU and Boundary F1 score, but is surpassed by Pix2Pix (without discriminator) and U-Net in Occluded branch recall.

Generative Adversarial Network Hallucination +1