MM-FSOD: Meta and metric integrated few-shot object detection

no code implementations • 30 Dec 2020 • Yuewen Li, Wenquan Feng, Shuchang Lyu, Qi Zhao, Xuliang Li

In this paper, we present an effective object detection framework (MM-FSOD) that integrates metric learning and meta-learning to tackle the few-shot object detection task.

Few-Shot Object Detection Meta-Learning +3

MGML: Multi-Granularity Multi-Level Feature Ensemble Network for Remote Sensing Scene Classification

no code implementations • 29 Dec 2020 • Qi Zhao, Shuchang Lyu, Yuewen Li, Yujing Ma, Lijiang Chen

To avoid the interference from confusing information, we propose Multi-granularity Multi-Level Feature Ensemble Module (MGML-FEM) which can provide diverse predictions by full-channel feature generator (FC-FG).

Classification Ensemble Learning +2