2 citations · 2 across the 4 of their papers we have counts for
4 papers
Learnable Shape Prototypes with Occlusion-Geometry-Guided Injection for Amodal Instance Segmentation
Fufan Zhang, Jingxiang Wang, Xiangjie Ye
Amodal instance segmentation aims to predict the complete object mask including occluded regions that lack pixel-level observations and must be inferred with the aid of shape prior…
Cumulative Meta-Learning from Active Learning Queries for Robustness to Spurious Correlations
Kin Whye Chew, Jingxian Wang
Spurious correlations in real-world datasets cause machine learning models to rely on irrelevant patterns, undermining reliability, generalization, and fairness. Active learning of…
Deep Attention Reweighting: Post-Hoc Attention-Based Feature Aggregation in CNNs for Disentangling Core and Spurious Features under Spurious Correlations
Kin Whye Chew, Jingxian Wang
Convolutional Neural Networks (CNNs) often exploit spurious correlations in datasets, learning superficially predictive yet causally irrelevant features, leading to poor generaliza…
An Empirical Study of the Impact of Federated Learning on Machine Learning Model Accuracy
Haotian Yang, Zhuoran Wang, Benson Chou +4
Federated Learning (FL) enables distributed ML model training on private user data at the global scale. Despite the potential of FL demonstrated in many domains, an in-depth view o…