306 citations · 940 across the 27 of their papers we have counts for
Showing 2023 · cs.CVShow all
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cs.CV2023★ 1 cited
Twin Contrastive Learning with Noisy Labels
Zhizhong Huang, Junping Zhang, Hongming Shan
Learning from noisy data is a challenging task that significantly degenerates the model performance. In this paper, we present TCL, a novel twin contrastive learning model to learn…
cs.CV2023★ 2 cited
CORE: Learning Consistent Ordinal REpresentations for Image Ordinal Estimation
Yiming Lei, Zilong Li, Yangyang Li +2
The goal of image ordinal estimation is to estimate the ordinal label of a given image with a convolutional neural network. Existing methods are mainly based on ordinal regression…