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Found 5 papers, 1 papers with code
On Initial Pools for Deep Active Learning
While recent studies have focused on evaluating the robustness of various query functions in AL, little to no attention has been given to the design of the initial labeled pool for deep active learning.
Computer Vision with Deep Learning for Plant Phenotyping in Agriculture: A Survey
In light of growing challenges in agriculture with ever growing food demand across the world, efficient crop management techniques are necessary to increase crop yield.
Active Learning with Point Supervision for Cost-Effective Panicle Detection in Cereal Crops
We show promising results on two publicly available cereal crop datasets - Sorghum and Wheat.
An Adaptive Supervision Framework for Active Learning in Object Detection
Our extensive experiments show that the proposed framework can be used to train good generalizable models with much lesser annotation costs than the state of the art active learning approaches for object detection.
Automatic estimation of heading date of paddy rice using deep learning
Accurate estimation of heading date of paddy rice greatly helps the breeders to understand the adaptability of different crop varieties in a given location.
