26 citations · 38 across the 10 of their papers we have counts for
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cs.LG2021
Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data
Shenwang Jiang, Jianan Li, Ying Wang +3
Corrupted labels and class imbalance are commonly encountered in practically collected training data, which easily leads to over-fitting of deep neural networks (DNNs). Existing ap…
cs.CV2021★ 5 cited
PAPooling: Graph-based Position Adaptive Aggregation of Local Geometry in Point Clouds
Jie Wang, Jianan Li, Lihe Ding +2
Fine-grained geometry, captured by aggregation of point features in local regions, is crucial for object recognition and scene understanding in point clouds. Nevertheless, existing…
cs.CV2021★ 2 cited
Pyramid Correlation based Deep Hough Voting for Visual Object Tracking
Ying Wang, Tingfa Xu, Jianan Li +2
Most of the existing Siamese-based trackers treat tracking problem as a parallel task of classification and regression. However, some studies show that the sibling head structure c…