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cs.CV2023
Realistically distributing object placements in synthetic training data improves the performance of vision-based object detection models
Setareh Dabiri, Vasileios Lioutas, Berend Zwartsenberg +8
When training object detection models on synthetic data, it is important to make the distribution of synthetic data as close as possible to the distribution of real data. We invest…
cs.CV2022
OBBStacking: An Ensemble Method for Remote Sensing Object Detection
Haoning Lin, Changhao Sun, Yunpeng Liu
Ensemble methods are a reliable way to combine several models to achieve superior performance. However, research on the application of ensemble methods in the remote sensing object…