51 citations · 51 across the 1 of their papers we have counts for
5 papers
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…
Computer Vision with Deep Learning for Plant Phenotyping in Agriculture: A Survey
Akshay L Chandra, Sai Vikas Desai, Wei Guo +1
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. Precision a…
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…
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…
Automatic estimation of heading date of paddy rice using deep learning
Sai Vikas Desai, Vineeth N Balasubramanian, Tokihiro Fukatsu +2
Accurate estimation of heading date of paddy rice greatly helps the breeders to understand the adaptability of different crop varieties in a given location. The heading date also p…