3 papers
cs.CV2026
A Large-Scale Study on the Accuracy vs Cost Trade-offs of Training and Evaluation Settings in Fine-Grained Image Recognition
Edwin Arkel Rios, Augusto Christian Surya, Oswin Gosal +5
Prior work on fine-grained image recognition (FGIR) has established the importance of the backbone selection, but has neglected the accuracy-vs-cost trade-offs under different trai…
cs.CV2026
How to Choose Your Teacher for Fine Grained Image Recognition
Oswin Gosal, Edwin Arkel Rios, Augusto Christian Surya +3
Fine-grained image recognition classifies subcategories such as bird species or car models. While state-of-the-art (SOTA) models are accurate, they are often too resource-intensive…
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…