Sample Selection for Efficient Image Annotation
Published in 9th European Workshop on Visual Information Processing (EUVIP), 2021
This paper proposes sample selection techniques for bounding box annotation of object detection datasets. The method selects and sorts informative images into mini-batches that will lead to less annotation work; utilizing the human-machine collaboration in the continuous train-annotate loop.
Cite this article as:
@INPROCEEDINGS{adhikari_2021,
author={Adhikari, Bishwo and Rahtu, Esa and Huttunen, Heikki},
booktitle={2021 9th European Workshop on Visual Information Processing (EUVIP)},
title={Sample Selection for Efficient Image Annotation},
year={2021},
pages={1-6},
doi={10.1109/EUVIP50544.2021.9484022}}