arXiv Open Access 2022

How well does CLIP understand texture?

Chenyun Wu Subhransu Maji

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Abstrak

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.

Topik & Kata Kunci

cs.CV

Penulis (2)

Chenyun Wu

Subhransu Maji

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APA MLA BibTeX

Wu, C., Maji, S. (2022). How well does CLIP understand texture?. https://arxiv.org/abs/2203.11449

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Informasi Jurnal

Tahun Terbit: 2022
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓