Annotation Efficient Person Re-Identification with Diverse Cluster-Based Pair Selection. (arXiv:2203.05395v1 [cs.CV])

Person Re-identification (Re-ID) has attracted great attention due to its
promising real-world applications. However, in practice, it is always costly to
annotate the training data to train a Re-ID model, and it still remains
challenging to reduce the annotation cost while maintaining the performance for
the Re-ID task. To solve this problem, we propose the Annotation Efficient
Person Re-Identification method to select image pairs from an alternative pair
set according to the fallibility and diversity of pairs, and train the …

annotation arxiv cluster cv identification person