most citedActive learning with MaskAL reduces annotation effort for training Mask R-CNN

45 citations · 51 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2023★ 6 cited

Integrating processed-based models and machine learning for crop yield prediction

Michiel G. J. Kallenberg, Bernardo Maestrini, Ron van Bree +4

Crop yield prediction typically involves the utilization of either theory-driven process-based crop growth models, which have proven to be difficult to calibrate for local conditio…

cs.CV2021★ 45 cited

Active learning with MaskAL reduces annotation effort for training Mask R-CNN

Pieter M. Blok, Gert Kootstra, Hakim Elchaoui Elghor +3

The generalisation performance of a convolutional neural network (CNN) is influenced by the quantity, quality, and variety of the training images. Training images must be annotated…