cross-attention

Target Recognition and Grasp Pose Detection Technology Based on YLG-CNN Network

by
Target Recognition and Grasp Pose Detection Technology Based on YLG-CNN Network

Target Recognition and Grasp Pose Detection Technology Based on YLG-CNN Network Wang Yicheng1,2, Zhang Guoliang1,2, Wang Kun1,2, Zhang Zijie1,2 (1. School of Automation and Information Engineering, Sichuan University of Science & Engineering, Yibin, Sichuan 644000; 2. Key Laboratory of Artificial Intelligence in Sichuan Province, Yibin, Sichuan 644000) Abstract and Keywords Abstract: In response to the … Read more

New Approaches to Multimodal Fusion: Attention Mechanisms

by
New Approaches to Multimodal Fusion: Attention Mechanisms

Multimodal learning and attention mechanisms are currently hot topics in deep learning research, and cross-attention fusion serves as a convergence point for these two fields, offering significant development space and innovation opportunities. As a crucial component of multimodal fusion, cross-attention fusion establishes connections between different modules through attention mechanisms, facilitating the exchange and integration of … Read more