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Author

Shengxia Gao

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Aug 2026

Self-supervised probability distribution-driven deep incomplete multi-view clustering

This work proposes a Self-supervised Probability Distribution-driven Deep Incomplete Multi-view Clustering method (SPDIM), which first handles missing views at the data level, utilizing uncertainty-aware sampling to interpolate missing information and thereby enforce global consistency across samples.

Shengxia Gao, Wei-Yi Wei, Yongxin Shi et al. · 0 citations
Aug 2026

Lightweight Condition-Constrained Salient Object Detection Based on Elastic Pixel Difference Convolution.

The core innovation lies in a novel elastic pixel differential convolution operator, which flexibly captures microscopic gradient cues to effectively coordinate high-level semantics with low-level details during inference with zero additional computational overhead.

Wei-Yi Wei, Yongxin Shi, Shengxia Gao et al. · 0 citations

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