Multi-Pseudo Regularized Label for Generated Data in Person Re-Identification
نویسندگان
چکیده
منابع مشابه
Multi-pseudo Regularized Label for Generated Samples in Person Re-Identification
Sufficient training data is normally required to train deeply learned models. However, the number of pedestrian images per ID in person re-identification (re-ID) datasets is usually limited, since manually annotations are required for multiple camera views. To produce more data for training deeply learned models, generative adversarial network (GAN) can be leveraged to generate samples for pers...
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ژورنال
عنوان ژورنال: IEEE Transactions on Image Processing
سال: 2019
ISSN: 1057-7149,1941-0042
DOI: 10.1109/tip.2018.2874715