6 citations · 22 across the 8 of their papers we have counts for
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cs.CV2023
Contrast and Clustering: Learning Neighborhood Pair Representation for Source-free Domain Adaptation
Yuqi Chen, Xiangbin Zhu, Yonggang Li +2
Unsupervised domain adaptation uses source data from different distributions to solve the problem of classifying data from unlabeled target domains. However, conventional methods r…
cs.CV2021★ 6 cited
ContourletNet: A Generalized Rain Removal Architecture Using Multi-Direction Hierarchical Representation
Wei-Ting Chen, Cheng-Che Tsai, Hao-Yu Fang +3
Images acquired from rainy scenes usually suffer from bad visibility which may damage the performance of computer vision applications. The rainy scenarios can be categorized into t…
cs.CV2021★ 3 cited
ContinuityLearner: Geometric Continuity Feature Learning for Lane Segmentation
Haoyu Fang, Jing Zhu, Yi Fang
Lane segmentation is a challenging issue in autonomous driving system designing because lane marks show weak textural consistency due to occlusion or extreme illumination but stron…