2023
Meta-Tuning Loss Functions and Data Augmentation for Few-Shot Object Detection
CVPR 2023poster
Few-shot object detection, the problem of modelling novel object detection categories with few training instances, is an emerging topic in the area of few-shot learning and object detection. Contemporary techniques can be divided into two groups: fine-tuning based and meta-learning based approaches.…