14 citations · 30 across the 4 of their papers we have counts for
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cs.CV2023★ 1 cited
LA-Net: Landmark-Aware Learning for Reliable Facial Expression Recognition under Label Noise
Zhiyu Wu, Jinshi Cui
Facial expression recognition (FER) remains a challenging task due to the ambiguity of expressions. The derived noisy labels significantly harm the performance in real-world scenar…
cs.CV2021★ 14 cited
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning
Hanzhe Hu, Fangyun Wei, Han Hu +3
Due to the limited and even imbalanced data, semi-supervised semantic segmentation tends to have poor performance on some certain categories, e.g., tailed categories in Cityscapes…
cs.CV2021★ 14 cited
Dense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detection
Hanzhe Hu, Shuai Bai, Aoxue Li +2
Conventional deep learning based methods for object detection require a large amount of bounding box annotations for training, which is expensive to obtain such high quality annota…