15 citations · 15 across the 3 of their papers we have counts for
3 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…
eess.IV2023★ 15 cited
Multi-source adversarial transfer learning for ultrasound image segmentation with limited similarity
Yifu Zhang, Hongru Li, Tao Yang +8
Lesion segmentation of ultrasound medical images based on deep learning techniques is a widely used method for diagnosing diseases. Although there is a large amount of ultrasound i…