no code implementations • 23 May 2024 • Sheng-Jun Huang, Yi Li, Yiming Sun, Ying-Peng Tang
Active learning (AL) for multiple target models aims to reduce labeled data querying while effectively training multiple models concurrently.
1 code implementation • 6 Dec 2022 • Dong Liang, Jing-Wei Zhang, Ying-Peng Tang, Sheng-Jun Huang
However, existing active learning methods are mainly with class-balanced settings and image-based querying for generic object detection tasks, which are less applicable to aerial object detection scenarios due to the long-tailed class distribution and dense small objects in aerial scenes.
3 code implementations • 12 Jan 2019 • Ying-Peng Tang, Guo-Xiang Li, Sheng-Jun Huang
Supervised machine learning methods usually require a large set of labeled examples for model training.