spcl++: overall improvement of spcl algorithm

JiaJian Huang

doi:10.1117/12.2604534

5 October 2021 spcl++: overall improvement of spcl algorithm

JiaJian Huang

Proceedings Volume 11911, 2nd International Conference on Computer Vision, Image, and Deep Learning; 1191122 (2021) https://doi.org/10.1117/12.2604534
Event: 2nd International Conference on Computer Vision, Image and Deep Learning, 2021, Liuzhou, China

Abstract

Spcl algorithm introduces a unified contrast loss function with the help of mixed memory model, combined with adaptive clustering screening criteria, and achieves the best results of cross-domain pedestrian re-identification task. However, the algorithm ignores many basic problems in pedestrian re-identification task, which limits the performance of the algorithm. In this work, the algorithm is improved in all aspects, and we call the improved algorithm spcl++. Experiments show that spcl++ performs much better than spcl in pedestrian re-identification task, and achieves the best results in current cross-domain pedestrian re-identification task.

Citation Download Citation

JiaJian Huang "spcl++: overall improvement of spcl algorithm", Proc. SPIE 11911, 2nd International Conference on Computer Vision, Image, and Deep Learning, 1191122 (5 October 2021); https://doi.org/10.1117/12.2604534

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