4 papers
Robust Visual Tracking via Iterative Gradient Descent and Threshold Selection
Zhuang Qi, Junlin Zhang, Xin Qi
Visual tracking fundamentally involves regressing the state of the target in each frame of a video. Despite significant progress, existing regression-based trackers still tend to e…
Relation Modeling and Distillation for Learning with Noisy Labels
Xiaming Che, Junlin Zhang, Zhuang Qi +1
Learning with noisy labels has become an effective strategy for enhancing the robustness of models, which enables models to better tolerate inaccurate data. Existing methods either…
Comparative Study of Neighbor-based Methods for Local Outlier Detection
Zhuang Qi, Junlin Zhang, Xiaming Chen +1
The neighbor-based method has become a powerful tool to handle the outlier detection problem, which aims to infer the abnormal degree of the sample based on the compactness of the…
Federated Cross-Training Learners for Robust Generalization under Data Heterogeneity
Zhuang Qi, Lei Meng, Ruohan Zhang +5
Federated learning benefits from cross-training strategies, which enables models to train on data from distinct sources to improve generalization capability. However, due to inhere…