no code implementations • CVPR 2023 • Gaurav Patel, Konda Reddy Mopuri, Qiang Qiu
To this end, at every generator update, we aim to maintain the student's performance on previously encountered examples while acquiring knowledge from samples of the current distribution.
no code implementations • 31 Aug 2022 • Gaurav Patel, Jan Allebach, Qiang Qiu
To this end, we propose a pseudo-label generation and an uncertainty-based data selection framework for semi-supervised text recognition.
1 code implementation • 6 Apr 2021 • Gaurav Patel, Jose Dolz
In addition, we add a KL-divergence on the class prediction distributions to facilitate the information exchange between modalities, which, combined with the equivariant regularizers further improves the performance of our model.
no code implementations • 9 Aug 2020 • Deepak Anand, Gaurav Patel, Yaman Dang, Amit Sethi
Remarkably, without retraining on target datasets, our pre-trained nucleus detector also outperformed existing nucleus detectors that were trained on at least some of the images from the target datasets.