Abstract. Imaging roots of growing plants in a non-invasive and affordable fashion has been a long-standing problem in image-assisted plant breeding and�...

This work proposes an effective deep neural network to recover gaps from disconnected root segments that can work both in dicot and monocot cases in�...

Imaging roots of growing plants in a non-invasive and affordable fashion has been a long-standing problem in image-assisted plant breeding and phenotyping.

Sep 6, 2018 � We propose an effective deep neural network to recover gaps from disconnected root segments. We train a fully supervised encoder-decoder deep�...

Herein, we develop an image inpainting technique to recover gaps from disconnected root segments. We train a patch-based deep fully convolutional network using�...

GAN model presents a robust, effective and automatic so- lution for inpainting plant root gaps, leading to improved accuracy within the phenotyping pipeline.

Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019. 19, 2019. Root gap correction with a deep inpainting model. H Chen, MV Giuffrida�...

Mar 13, 2024 � Our patching method consists in sliding a 32x32x32 pixel-size portion ( P P \mathbf{P} bold_P ) over the gap area and making a prediction at�...

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019. 19, 2019. Root gap correction with a deep inpainting model. H Chen, MV Giuffrida�...