Meta-Learning-Based Incremental Few-Shot Object Detection

• Published in: IEEE transactions on circuits and systems for video technology Vol. 32; no. 4; pp. 2158 - 2169
• Main Authors: Cheng, Meng, Wang, Hanli, Long, Yu
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.04.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptation models; Data models; Detectors; Feature extraction; Few-shot learning; incremental learning; Learning; meta-learning; Object detection; Object recognition; Task analysis; Training

Recent years have witnessed meaningful progress in the task of few-shot object detection. However, most of the existing models are not capable of incremental learning with a few samples, i.e. , the detector can't detect novel-class objects by using only a few samples of novel classes (without r...