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论文标题:Guiding Instruction-based Image Editing via Multimodal Large Language Models 论文链接:https://openreview.net/pdf?id=S1RKWSyZ2Y 项目主页:https://mllm-ie.github.io/
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线性模型中特征的系数,或深度网络中的边。训练线性模型的目标是确定每个特征的理想权重。如果权重为 0,则相应的特征对模型来说没有任何贡献。
知觉或感知是外界刺激作用于感官时,脑对外界的整体的看法和理解,为我们对外界的感官信息进行组织和解释。在认知科学中,也可看作一组程序,包括获取信息、理解信息、筛选信息、组织信息。与感觉不同,知觉反映的是由对象的各样属性及关系构成的整体。
自注意力(Self-attention),有时也称为内部注意力,它是一种涉及单序列不同位置的注意力机制,并能计算序列的表征。自注意力在多种任务中都有非常成功的应用,例如阅读理解、摘要概括、文字蕴含和语句表征等。自注意力这种在序列内部执行 Attention 的方法可以视为搜索序列内部的隐藏关系,这种内部关系对于翻译以及序列任务的性能非常重要。