3 papers
cs.LG2020
On Initial Pools for Deep Active Learning
Akshay L Chandra, Sai Vikas Desai, Chaitanya Devaguptapu +1
Active Learning (AL) techniques aim to minimize the training data required to train a model for a given task. Pool-based AL techniques start with a small initial labeled pool and t…
cs.CV2019
Active Learning with Point Supervision for Cost-Effective Panicle Detection in Cereal Crops
Akshay L Chandra, Sai Vikas Desai, Vineeth N Balasubramanian +2
Panicle density of cereal crops such as wheat and sorghum is one of the main components for plant breeders and agronomists in understanding the yield of their crops. To phenotype t…
cs.CV2019
An Adaptive Supervision Framework for Active Learning in Object Detection
Sai Vikas Desai, Akshay L Chandra, Wei Guo +2
Active learning approaches in computer vision generally involve querying strong labels for data. However, previous works have shown that weak supervision can be effective in traini…