Xing, Weiwei, Yao, Jie, Liu, Zixia, Liu, Weibin, Zhang, Shunli, and Wang, Liqiang. Contrastive JS: A Novel Scheme for Enhancing the Accuracy and Robustness of Deep Models. Retrieved from https://par.nsf.gov/biblio/10498856. IEEE Transactions on Multimedia 25. Web. doi:10.1109/TMM.2022.3232030.

Xing, Weiwei, Yao, Jie, Liu, Zixia, Liu, Weibin, Zhang, Shunli, & Wang, Liqiang. Contrastive JS: A Novel Scheme for Enhancing the Accuracy and Robustness of Deep Models. IEEE Transactions on Multimedia, 25 (). Retrieved from https://par.nsf.gov/biblio/10498856. https://doi.org/10.1109/TMM.2022.3232030

Xing, Weiwei, Yao, Jie, Liu, Zixia, Liu, Weibin, Zhang, Shunli, and Wang, Liqiang. "Contrastive JS: A Novel Scheme for Enhancing the Accuracy and Robustness of Deep Models". IEEE Transactions on Multimedia 25 (). Country unknown/Code not available: IEEE. https://doi.org/10.1109/TMM.2022.3232030. https://par.nsf.gov/biblio/10498856.

@article{osti_10498856,
place = {Country unknown/Code not available}, title = {Contrastive JS: A Novel Scheme for Enhancing the Accuracy and Robustness of Deep Models}, url = {https://par.nsf.gov/biblio/10498856}, DOI = {10.1109/TMM.2022.3232030}, abstractNote = {}, journal = {IEEE Transactions on Multimedia}, volume = {25}, publisher = {IEEE}, author = {Xing, Weiwei and Yao, Jie and Liu, Zixia and Liu, Weibin and Zhang, Shunli and Wang, Liqiang}, }