4 papers
Towards Faithful Graph Explanations with Synergistic Edge Effects via Granular Balls
Jiancu Chen, Shuyin Xia, Guan Wang +2
Instance-level explanations aim to reveal the rationale behind a model's decisions for a specific graph. Previous methods explain graph neural networks (GNNs) by selecting importan…
Square Superpixel Generation and Representation Learning via Granular Ball Computing
Shuyin Xia, Meng Yang, Dawei Dai +6
Superpixels provide a compact region-based representation that preserves object boundaries and local structures, and have therefore been widely used in a variety of vision tasks to…
Granular Ball Guided Masking: Structure-aware Data Augmentation
Shuyin Xia, Fan Chen, Dawei Dai +4
Deep learning models have achieved remarkable success in computer vision but still rely heavily on large-scale labeled data and tend to overfit when data is limited or distribution…
FPGA: Flexible Portrait Generation Approach
Zhaoli Deng, Fanyi Wang, Junkang Zhang +5
Portrait Fidelity Generation is a prominent research area in generative models.Current methods face challenges in generating full-body images with low-resolution faces, especially…