1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Reconstructing Deep Neural Networks: Unleashing the Optimization Potential of Natural Gradient Descent
Weihua Liu, Said Boumaraf, Jianwu Li +4
Natural gradient descent (NGD) is a powerful optimization technique for machine learning, but the computational complexity of the inverse Fisher information matrix limits its appli…
cs.CV2023★ 1 cited
Unified Mask Embedding and Correspondence Learning for Self-Supervised Video Segmentation
Liulei Li, Wenguan Wang, Tianfei Zhou +2
The objective of this paper is self-supervised learning of video object segmentation. We develop a unified framework which simultaneously models cross-frame dense correspondence fo…