Enhancing Few-Shot Learning in Lightweight Models via Dual-Faceted Knowledge Distillation
In recent computer vision research, the pursuit of improved classification performance often leads to the adoption of complex, large-scale models.However, the actual deployment of such extensive models poses significant challenges in environments constrained by limited computing power and storage capacity.Consequently, this study is dedicated to ad