论文标题
剪辑如何理解纹理？
How well does CLIP understand texture?
论文作者
论文摘要
我们研究了夹理学对自然语言描述的自然图像中纹理的理解。为此，我们分析了剪辑的能力：（1）对各种纹理和材料分类数据集执行零拍学习； （2）表示纹理的组成属性，例如详细描述纹理（DTDD）数据集上的红点或黄色条纹； （3）用颜色和身体部位的质地描述的照片中的鸟类对鸟类的细粒度分类。
We investigate how well CLIP understands texture in natural images described by natural language. To this end, we analyze CLIP's ability to: (1) perform zero-shot learning on various texture and material classification datasets; (2) represent compositional properties of texture such as red dots or yellow stripes on the Describable Texture in Detail(DTDD) dataset; and (3) aid fine-grained categorization of birds in photographs described by color and texture of their body parts.
