Enhancing Few-Shot Learning in Lightweight Models via Dual-Faceted Knowledge Distillation
Bojun Zhou,
Tianyu Cheng,
Jiahao Zhao
et al.
Abstract: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 addressing these challenges by focusing on innovative methods that enhance the classification performance of lightweight models. We propose a novel method to compres… Show more
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