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In this work, we address the challenging task of long-tailed image recognition.
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2022
Closest in time.
N. Kang, H. Chang, B. Ma, and S. Shan, “A comprehensive framework for long-tailed learning via pretraining and normalization,” IEEE Transactions on Neural Networks and Learning Systems , pp. 1–13, 2022
2022
Closest in time.
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2022
Closest in time.
J. Hou, H. Ding, W. Lin, W. Liu, and Y. Fang, “Distilling knowledge from object classification to aesthetics assessment,” IEEE Transactions on Circuits and Systems for Video Technology , 2022
2022
Closest in time.
J. Hou, W. Lin, G. Yue, W. Liu, and B. Zhao, “Interaction-matrix based personalized image aesthetics assessment,” IEEE Transactions on Multimedia , 2022
2022
Closest in time.
W. Liu, C. Zhang, G. Lin, T.-Y. Hung, and C. Miao, “Weakly supervised segmentation with maximum bipartite graph matching,” in Proceedings of the 28th ACM International Conference on Multimedia , 2020, pp. 2085–2094
2094
Closest in time.