most citedAn Empirical Study of the Impact of Federated Learning on Machine Learning Model Accuracy

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cs.CV2026

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…

cs.CV2026

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…