2 papers
cs.CV2025
Fine-Grained Image Recognition from Scratch with Teacher-Guided Data Augmentation
Edwin Arkel Rios, Fernando Mikael, Oswin Gosal +4
Fine-grained image recognition (FGIR) aims to distinguish visually similar sub-categories within a broader class, such as identifying bird species. While most existing FGIR methods…
cs.CV2024
Cross-Layer Cache Aggregation for Token Reduction in Ultra-Fine-Grained Image Recognition
Edwin Arkel Rios, Jansen Christopher Yuanda, Vincent Leon Ghanz +3
Ultra-fine-grained image recognition (UFGIR) is a challenging task that involves classifying images within a macro-category. While traditional FGIR deals with classifying different…