2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2023
Limited Data, Unlimited Potential: A Study on ViTs Augmented by Masked Autoencoders
Srijan Das, Tanmay Jain, Dominick Reilly +6
Vision Transformers (ViTs) have become ubiquitous in computer vision. Despite their success, ViTs lack inductive biases, which can make it difficult to train them with limited data…
cs.CV2022★ 2 cited
Convolutional Ensembling based Few-Shot Defect Detection Technique
Soumyajit Karmakar, Abeer Banerjee, Prashant Sadashiv Gidde +2
Over the past few years, there has been a significant improvement in the domain of few-shot learning. This learning paradigm has shown promising results for the challenging problem…