A Survey and Comparison of Discrete and Continuous Multi-label Optimization Approaches for the Potts Model

70 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Finely-grained annotated datasets for image-based plant phenotyping (2016, methodology): “From a computer vision perspective, it can also be used to constrain leaf detection or leaf segmentation algorithms (Nieuwenhuis et al., 2013).”
Annotated Image Datasets of Rosette Plants (2014, methodology): “We also do hope that this dataset and its future versions, would be used from the computer vision community to learn suitable image statistics [19], adapt and test counting algorithms with [20] and without temporal information [21, 22, 23], segmentation algorithms [24, 25, 26, 27, 28], multi-label s”