2 papers
cs.CV2023
From Pretext to Purpose: Batch-Adaptive Self-Supervised Learning
Jiansong Zhang, Linlin Shen, Peizhong Liu
In recent years, self-supervised contrastive learning has emerged as a distinguished paradigm in the artificial intelligence landscape. It facilitates unsupervised feature learning…
cs.CV2023
Multi-source adversarial transfer learning based on similar source domains with local features
Yifu Zhang, Hongru Li, Shimeng Shi +2
Transfer learning leverages knowledge from other domains and has been successful in many applications. Transfer learning methods rely on the overall similarity of the source and ta…