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Head-Tail Cooperative Learning Network for Unbiased Scene Graph Generation
Lei Wang, Zejian Yuan, Yao Lu +1
Scene Graph Generation (SGG) as a critical task in image understanding, facing the challenge of head-biased prediction caused by the long-tail distribution of predicates. However,…
On the Adversarial Robustness of Generative Autoencoders in the Latent Space
Mingfei Lu, Badong Chen
The generative autoencoders, such as the variational autoencoders or the adversarial autoencoders, have achieved great success in lots of real-world applications, including image g…
Gate Recurrent Unit Network based on Hilbert-Schmidt Independence Criterion for State-of-Health Estimation
Ziyue Huang, Lujuan Dang, Yuqing Xie +2
State-of-health (SOH) estimation is a key step in ensuring the safe and reliable operation of batteries. Due to issues such as varying data distribution and sequence length in diff…
Adaptive sparseness for correntropy-based robust regression via automatic relevance determination
Yuanhao Li, Badong Chen, Okito Yamashita +2
Sparseness and robustness are two important properties for many machine learning scenarios. In the present study, regarding the maximum correntropy criterion (MCC) based robust reg…