8 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 1 cited
DP-Mix: Mixup-based Data Augmentation for Differentially Private Learning
Wenxuan Bao, Francesco Pittaluga, Vijay Kumar B G +1
Data augmentation techniques, such as simple image transformations and combinations, are highly effective at improving the generalization of computer vision models, especially when…
cs.CV2022★ 2 cited
Exploiting Unlabeled Data with Vision and Language Models for Object Detection
Shiyu Zhao, Zhixing Zhang, Samuel Schulter +5
Building robust and generic object detection frameworks requires scaling to larger label spaces and bigger training datasets. However, it is prohibitively costly to acquire annotat…
cs.AI2020★ 8 cited
Large Scale Multimodal Classification Using an Ensemble of Transformer Models and Co-Attention
Varnith Chordia, Vijay Kumar BG
Accurate and efficient product classification is significant for E-commerce applications, as it enables various downstream tasks such as recommendation, retrieval, and pricing. Ite…