多模态面部表情识别研究综述2021-2025年，系统分析Vision Transformer（ViT）与可解释AI（XAI）方法在融合策略、数据集及性能提升中的应用，指出ViT通过长距离依赖建模提升分类准确率，但存在隐私风险、数据不平衡及高计算成本等挑战，未来需结合隐私保护技术与 ...

肺癌病理切片分类的混合深度学习模型研究。提出ResNet-50与Vision Transformer（ViT）融合架构，通过并行提取2048维空间特征和768维 ...

德国科研团队在人脸识别技术领域取得突破性进展，开发出一种无需训练即可评估图像质量的新方法ViTNT-FIQA。这项研究通过分析Vision Transformer模型内部特征变化规律，为提升人脸识别系统可靠性提供了创新解决方案。相关成果已在国际计算机视觉会议发表，论文编号arXiv:2601.05741v1。

Vision transformers (ViTs) are powerful artificial intelligence (AI) technologies that can identify or categorize objects in images -- however, there are significant challenges related to both ...

编辑｜陈陈、冷猫刘壮带队的无需归一化 Transformer 又有新的版本了。一直以来，在 Transformer 架构里，LayerNorm ...

Vision Transformers, or ViTs, are a groundbreaking learning model designed for tasks in computer vision, particularly image recognition. Unlike CNNs, which use convolutions for image processing, ViTs ...

It’s 2023 and transformers are having a moment. No, I’m not talking about the latest installment of the Transformers movie franchise, “Transformers: Rise of the Beasts”; I’m talking about the deep ...

Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines are ...