This workshop targets researchers and practitioners from both industry and academia to provide a forum in which to publish recent state-of-the-art achievements in the fine-grained image analysis area. Topics of interest include, but are not limited to:

• Fine-grained image recognition and categorization;

• Webly-supervised fine-grained recognition;

• Fine-grained image retrieval/search;

• Fine-grained few-shot learning;

• Fine-grained vehicle categorization and verification;

• Multi-modal data for fine-grained categorization;

• Visual logo detection, categorization and verification;

• Person re-identification;

• Vehicle re-identification;

• Fashion image recognition, search and attribute prediction;

• Fine-grained food recognition and ingredient analysis;

• Transfer-learning from categories to subcategories;

• Part-based models for fine-grained categorization;

• Attribute-based models for fine-grained feature learning;

• Ontology-based fine-grained visual categorization;

• Fine-grained categorization with human in the loop;

• Fine-grained categorization in the wild by domain adaptation;

• Novel benchmark data;

• Novel annotation, crowdsourcing approaches and tools for fine-grained data labeling;

• Interpretable fine-grained models.

Submit your manuscript 👇