metric in our solution. • Successful methods in face recognition. • Also in landmark retrieval/recognition, we found out cosine-based softmax losses are very effective. • Hyperparameter: m=0.3 and s=30 were used in both. • There are many winning solutions using cosine-based softmax losses: • Whale Humpbuck - 1st place • Protain Classification - 1st place [1] J. Deng, J. Guo, and S. Zafeiriou. Arcface: Additive angular margin loss for deep face recognition. arXiv:1801.07698, 2018. [2] H. Wang, Y. Wang, Z. Zhou, X. Ji, D. Gong, J. Zhou, Z. Li, and W. Liu. Cosface: Large margin cosine loss for deep face recognition. In CVPR, pages 5265–5274, 2018.