Video Domain Adaptation based on Optimal Transport in Grassmann Manifolds

Article Computer Science, Artificial Intelligence

Faster Domain Adaptation Networks

Jingjing Li et al.

Summary: This paper addresses the problem of accelerating machine learning in situations where there is a lack of training data and limited computing power. By proposing the Faster Domain Adaptation (FDA) protocol and two paradigms, the method achieves comparable or even better accuracy while using fewer computing resources.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2022)

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Article Computer Science, Artificial Intelligence

Maximum Density Divergence for Domain Adaptation

Jingjing Li et al.

Summary: This paper proposes a new domain adaptation method named ATM, which aims to reduce domain divergence by minimizing inter-domain divergence and maximizing intra-class density, combining adversarial training and metric learning. Experimental results show that the proposed ATM achieves state-of-the-art performance on multiple benchmark datasets.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2021)

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Article Computer Science, Artificial Intelligence