Free Acceleration for Diffusion! TGATE: Cross-Attention Not Always Effective in Denoising!

Free Acceleration for Diffusion! TGATE: Cross-Attention Not Always Effective in Denoising!

Click the card below to follow the “CVer” public account AI/CV heavy content delivered first-hand Click to enter —>【Mamba and diffusion model】 WeChat group Add WeChat: CVer5555, the assistant will add you to the group! Scan the QR code below to join the CVer academic community! You can get the latest top conference/top journal paper … Read more

HuggingFace’s Experiments on Effective Tricks for Multimodal Models

HuggingFace's Experiments on Effective Tricks for Multimodal Models

Xi Xiaoyao Technology Says Original Author | Xie Nian Nian When constructing multimodal large models, there are many effective tricks, such as using cross-attention mechanisms to integrate image information into language models or directly combining image hidden state sequences with text embedding sequences as inputs to the language model. However, the reasons why these tricks … Read more

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

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

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