1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.CV2025
Cross-Domain Few-Shot Learning with Coalescent Projections and Latent Space Reservation
Naeem Paeedeh, Mahardhika Pratama, Imam Mustafa Kamal +3
Despite the progress in cross-domain few-shot learning, a model pre-trained with DINO combined with a prototypical classifier outperforms the latest SOTA methods. A crucial limitat…
cs.LG2024★ 1 cited
Cross-Domain Few-Shot Learning via Adaptive Transformer Networks
Naeem Paeedeh, Mahardhika Pratama, Muhammad Anwar Ma'sum +3
Most few-shot learning works rely on the same domain assumption between the base and the target tasks, hindering their practical applications. This paper proposes an adaptive trans…