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20222026
most citedLearning from Data with Noisy Labels Using Temporal Self-Ensemble

1 citations · 1 across the 3 of their papers we have counts for

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cs.CV2024

Semi-Supervised Domain Adaptation Using Target-Oriented Domain Augmentation for 3D Object Detection

Yecheol Kim, Junho Lee, Changsoo Park +4

3D object detection is crucial for applications like autonomous driving and robotics. However, in real-world environments, variations in sensor data distribution due to sensor upgr…

cs.CV2022★ 1 cited

Learning from Data with Noisy Labels Using Temporal Self-Ensemble

Jun Ho Lee, Jae Soon Baik, Tae Hwan Hwang +1

There are inevitably many mislabeled data in real-world datasets. Because deep neural networks (DNNs) have an enormous capacity to memorize noisy labels, a robust training scheme i…