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

Abstract New dark sectors consisting of exotic Front Loader Gasket Clamp fields that couple only very feebly to the Standard Model (SM) have strong theoretical motivation and may be relevant to explaining the abundance of dark matter (DM).An important question for such sectors is how they connect to the SM.For a dark sector with a new gauge interac