Domain adaptation of image classification exploiting target adaptive collaborative local-neighbor...

Collaborative representation with curriculum classifier boosting for unsupervised domain adaptation

C Han, D Zhou, Y Xie, M Gong, Y Lei, J Shi - Pattern Recognition, 2021 - Elsevier
Abstract Domain adaptation aims at leveraging rich knowledge in the source domain to build
an accurate classifier in the different but related target domain. Most prior methods attempt to …
被引用次数：22 相关文章 所有 2 个版本

Discrepancy-aware collaborative representation for unsupervised domain adaptation

C Han, D Zhou, Y Xie, Y Lei, J Shi… - 2020 International Joint …, 2020 - ieeexplore.ieee.org
Domain adaptation aims at learning from the la-beled source domain to build an accurate
classifier for a related but different target domain. Existing methods attempt to reduce …
被引用次数：3 相关文章

Non-negative discriminative collective target nearest-neighbor representation

Y Sun, J Zhou, Y Sun, Y Zhou, Y Yu, Z Sun - International Journal of …, 2022 - Springer
In intelligent warehouse logistics, image classification is widely used. However, the
performance of traditional image classifiers suffers when deployed in new environments …
被引用次数：2 相关文章