Showing cs.CVShow all
2 papers · 1 filter
cs.CV2024
Understanding the Effect of using Semantically Meaningful Tokens for Visual Representation Learning
Neha Kalibhat, Priyatham Kattakinda, Sumit Nawathe +5
Vision transformers have established a precedent of patchifying images into uniformly-sized chunks before processing. We hypothesize that this design choice may limit models in lea…
cs.CV2023
Adapting Self-Supervised Representations to Multi-Domain Setups
Neha Kalibhat, Sam Sharpe, Jeremy Goodsitt +2
Current state-of-the-art self-supervised approaches, are effective when trained on individual domains but show limited generalization on unseen domains. We observe that these model…