61 citations · 75 across the 3 of their papers we have counts for
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cs.CV2021★ 1 cited
DST: Data Selection and joint Training for Learning with Noisy Labels
Yi Wei, Xue Mei, Xin Liu +1
Training a deep neural network heavily relies on a large amount of training data with accurate annotations. To alleviate this problem, various methods have been proposed to annotat…
cs.CV2019★ 61 cited
Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection
Fan Yang, Lei Zhang, Sijia Yu +3
Pavement crack detection is a critical task for insuring road safety. Manual crack detection is extremely time-consuming. Therefore, an automatic road crack detection method is req…
cs.CV2016★ 13 cited
Multi-level Contextual RNNs with Attention Model for Scene Labeling
Heng Fan, Xue Mei, Danil Prokhorov +1
Context in image is crucial for scene labeling while existing methods only exploit local context generated from a small surrounding area of an image patch or a pixel, by contrast l…