no code implementations • 16 Feb 2023 • Shubhika Garg, Ben Feinstein, Shahar Timnat, Vishal Batchu, Gideon Dror, Adi Gerzi Rosenthal, Varun Gulshan
Unlike the conventional self distillation setup, we propose a cross modal distillation framework that transfers supervision from a teacher trained on richer modality (multi-spectral images) to a student model trained on SAR imagery.
no code implementations • 6 Sep 2022 • Umangi Jain, Alex Wilson, Varun Gulshan
Self-supervised methods have shown tremendous success in the field of computer vision, including applications in remote sensing and medical imaging.
1 code implementation • 20 Jun 2022 • Vishal Batchu, Grey Nearing, Varun Gulshan
We develop a deep learning based convolutional-regression model that estimates the volumetric soil moisture content in the top ~5 cm of soil.
no code implementations • 19 Nov 2021 • Chaitanya Patel, Shashank Sharma, Valerie J. Pasquarella, Varun Gulshan
We find that such techniques significantly improve generalization performance when labeled data is limited and there are geographic domain shifts between the training data and the validation/test data.
no code implementations • 11 Oct 2019 • Zvika Ben-Haim, Vladimir Anisimov, Aaron Yonas, Varun Gulshan, Yusef Shafi, Stephan Hoyer, Sella Nevo
Flood forecasts are crucial for effective individual and governmental protective action.
no code implementations • 4 Oct 2017 • Jonathan Krause, Varun Gulshan, Ehsan Rahimy, Peter Karth, Kasumi Widner, Greg S. Corrado, Lily Peng, Dale R. Webster
Diabetic retinopathy (DR) and diabetic macular edema are common complications of diabetes which can lead to vision loss.
1 code implementation • 26 Mar 2017 • Melody Y. Guan, Varun Gulshan, Andrew M. Dai, Geoffrey E. Hinton
We also show that our method performs better than competing algorithms by Welinder and Perona (2010), and by Mnih and Hinton (2012).