PRL – Pattern Recognition Letters

Pattern Recognition Letters

Fine-grained Categorization in Ecological Multimedia

Topics of interest
– Fine-grained species recognition and classification;
– Fine-grained categorization for environment monitoring and habitat classification;
– Transfer-learning from categories to subcategories;
– Attribute-based techniques for fine-grained categorization ;
– Ontology-based fine-grained visual categorization;
– Part-based models for fine-grained categorization/recognition;
– Fine-grained categorization with humans in the loop;
– Learning of discriminative features for fine-grained categorization;
– Integration/fusion of multi-modal data for fine-grained categorization;
– Novel datasets for fine-grained categorization;
– Novel annotation, crowdsourcing approaches and tools for labeling fine-grained attributes;
– Applications of computer vision and machine learning to ecological data.