1. Development of fish spatio-temporal identifying technology using SegNet in aquaculture net cages;Abe;Aquac. Eng.,2021
2. Evaluating multiple object tracking performance: the CLEAR MOT Metrics;Bernardin;EURASIP J Image Video Process,2008
3. Cao, J., Pang, J., Weng, X., Khirodkar, R., Kitani, K., 2023. Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 9686–9696.
4. Carion, N., Massa, F., Synnaeve, G., Usunier, N., Kirillov, A., Zagoruyko, S., 2020. End-to-End Object Detection with Transformers.
5. Dosovitskiy, A., Beyer, L., Kolesnikov, A., Weissenborn, D., Zhai, X., Unterthiner, T., Dehghani, M., Minderer, M., Heigold, G., Gelly, S., Uszkoreit, J., Houlsby, N., 2020. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.