most citedEnhancing Audio-Visual Spiking Neural Networks through Semantic-Alignment and Cross-Modal Residual Learning

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cs.CV2025★ 1 cited

Enhancing Audio-Visual Spiking Neural Networks through Semantic-Alignment and Cross-Modal Residual Learning

Xiang He, Dongcheng Zhao, Yiting Dong +3

Humans interpret and perceive the world by integrating sensory information from multiple modalities, such as vision and hearing. Spiking Neural Networks (SNNs), as brain-inspired c…

cs.CV2024

Brain-Inspired Stepwise Patch Merging for Vision Transformers

Yonghao Yu, Dongcheng Zhao, Guobin Shen +2

The hierarchical architecture has become a mainstream design paradigm for Vision Transformers (ViTs), with Patch Merging serving as the pivotal component that transforms a columnar…