A Closer Look at Data Augmentation Strategies for Finetuning-Based
Low/Few-Shot Object Detection
A Closer Look at Data Augmentation Strategies for Finetuning-Based
Low/Few-Shot Object Detection
Current methods for low- and few-shot object detection have primarily focused on enhancing model performance for detecting objects. One common approach to achieve this is by combining model finetuning with data augmentation strategies. However, little attention has been given to the energy efficiency of these approaches in data-scarce regimes. This …