From Synthesis to Realism: Enhancing Logistics with Computer Vision and Domain-Adversarial Training

Author:

Dang Cuong Quoc1ORCID,Nguyen Dung Trung1ORCID,Mai Dat Ha1ORCID,Vu Duc Van2ORCID,Hoang Anh Ngoc2ORCID,Nguyen Uyen Thu2ORCID,Nguyen Thiep Van2ORCID,Phan Tan Xuan3ORCID,Doan Tung Phong1ORCID,Hoang Cuong Dinh2ORCID

Affiliation:

1. Ha Noi University of Science and Technology, Vietnam

2. FPT University, Vietnam

3. Shibaura Institute of Technology, Japan

Publisher

ACM

Reference32 articles.

1. Jorge Calvo-Zaragoza Antonio-Javier Gallego and Robert B. Fisher. 2020 IEEE. Incremental Unsupervised Domain-Adversarial Training of Neural Networks. (2020 IEEE).

2. An Approach for Person Detection along with Object Using Machine Learning

3. Wuyang Chen, Zhiding Yu, Shalini De Mello, Sifei Liu, Jose M Alvarez, Zhangyang Wang, and Anima Anandkumar. 2021. Contrastive syn-to-real generalization. arXiv preprint arXiv:2104.02290 (2021).

4. Histograms of Oriented Gradients for Human Detection

5. ImageNet: A large-scale hierarchical image database

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