5 citations · 8 across the 8 of their papers we have counts for
8 papers
Enhancing the KidSat Model: Integrating Geographical Encoding and Data Quality Assessment for Childhood Poverty Prediction
Hou Hin Ip, Ka Nam Lam, Joshua Man Yu Ng +4
Accurate poverty mapping using satellite imagery is often hindered by (i) noisy and sparse survey-derived supervision, (ii) image quality issues such as cloud cover and image corru…
KidSat: satellite imagery to map childhood poverty dataset and benchmark
Makkunda Sharma, Fan Yang, Duy-Nhat Vo +6
Satellite imagery has emerged as an important tool to analyse demographic, health, and development indicators. While various deep learning models have been built for these tasks, e…
BOLLWM: A real-world dataset for bollworm pest monitoring from cotton fields in India
Jerome White, Chandan Agrawal, Anmol Ojha +3
This paper presents a dataset of agricultural pest images captured over five years by thousands of small holder farmers and farming extension workers across India. The dataset has…
A Case for Rejection in Low Resource ML Deployment
Jerome White, Pulkit Madaan, Nikhil Shenoy +3
Building reliable AI decision support systems requires a robust set of data on which to train models; both with respect to quantity and diversity. Obtaining such datasets can be di…
Measuring poverty in India with machine learning and remote sensing
Adel Daoud, Felipe Jordan, Makkunda Sharma +4
In this paper, we use deep learning to estimate living conditions in India. We use both census and surveys to train the models. Our procedure achieves comparable results to those f…
Impact of data-splits on generalization: Identifying COVID-19 from cough and context
Makkunda Sharma, Nikhil Shenoy, Jigar Doshi +7
Rapidly scaling screening, testing and quarantine has shown to be an effective strategy to combat the COVID-19 pandemic. We consider the application of deep learning techniques to…
Using Image Captions and Multitask Learning for Recommending Query Reformulations
Gaurav Verma, Vishwa Vinay, Sahil Bansal +3
Interactive search sessions often contain multiple queries, where the user submits a reformulated version of the previous query in response to the original results. We aim to enhan…
On monitoring development indicators using high resolution satellite images
Potnuru Kishen Suraj, Ankesh Gupta, Makkunda Sharma +2
We develop a machine learning based tool for accurate prediction of socio-economic indicators from daytime satellite imagery. The diverse set of indicators are often not intuitivel…