Cross-Resolution Knowledge Distillation for Low-Compute Fine-Grained Bird Classification
Fine-grained visual classification relies on subtle local cues and is highly sensitive to input resolution, yet practical deployment often constrains image size and inference cost. Existing low-resolution recognition methods often depend on additional network structures or complex training modules, limiting deployment...