(https://doi.org/10.1007/s00530-024-01269-0)
百度网盘:链接: https://pan.baidu.com/s/1iOVUiRiArtfqVqx3BsFamg?pwd=pmu3 提取码: pmu3
百度网盘:链接:https://pan.baidu.com/s/1aCvw1P5DgAdLq-Rim508nA?pwd=ccpr 提取码:ccpr
GoogleDrive:https://drive.google.com/file/d/126Fe1O_-xjyns9F8-tBQcrtAygrAOW11/view?usp=drive_link
百度网盘:链接:https://pan.baidu.com/s/1Ix8gmD0kys7ZbuHRMbAcHw?pwd=ccpr 提取码:ccpr
GoogleDrive:https://drive.google.com/drive/folders/1jvHh_BKXQpnQACI2dUttgrCCcqBsKpBf?usp=drive_link
Put pretained model file into ‘models’ folder
Start with 'train.py'
It should be noted that there is a bias in the validation method of the ltcc dataset in this project, and the precise validation method of the ltcc dataset will be updated later.
Citation:
Wu, Z., Hu, Z. & Ding, J. Same-clothes person re-identification with dual-stream network. Multimedia Systems 30, 70 (2024). https://doi.org/10.1007/s00530-024-01269-0