Image instance segmentation involves labeling pixels of images with classes and instances,
which is one of the pivotal technologies in many domains, such as natural scenes …

Plant phenotype plays an important role in genetics, botany, and agronomy, while the
currently popular methods for phenotypic trait measurement have some limitations in …

Semantic instance segmentation remains a challenging task. In this work we propose to
tackle the problem with a discriminative loss function, operating at the pixel level, that …

Major improvements in crop yield are needed to keep pace with population growth and
climate change. While plant breeding efforts have greatly benefited from advances in …

While convolutional neural networks have gained impressive success recently in solving
structured prediction problems such as semantic segmentation, it remains a challenge to …

Abstract The Global Wheat Head Detection (GWHD) dataset was created in 2020 and has
assembled 193,634 labelled wheat heads from 4700 RGB images acquired from various …

Instance segmentation is the problem of detecting and delineating each distinct object of
interest appearing in an image. Current instance segmentation approaches consist of …

Image-based approaches to plant phenotyping are gaining momentum providing fertile
ground for several interesting vision tasks where fine-grained categorization is necessary …

New types of phenotyping tools generate large amounts of data on many aspects of plant
physiology and morphology with high spatial and temporal resolution. These new …

The segmentation and classification of leaves in plant images are a great challenge,
especially when several leaves are overlapping in images with a complicated background …