37 citations · 55 across the 8 of their papers we have counts for
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3 papers · 1 filter
cs.CV2022★ 2 cited
You Should Look at All Objects
Zhenchao Jin, Dongdong Yu, Luchuan Song +2
Feature pyramid network (FPN) is one of the key components for object detectors. However, there is a long-standing puzzle for researchers that the detection performance of large-sc…
cs.CV2022★ 3 cited
CD-pFed: Cyclic Distillation-guided Channel Decoupling for Model Personalization in Federated Learning
Yiqing Shen, Yuyin Zhou, Lequan Yu
Federated learning (FL) is a distributed learning paradigm that enables multiple clients to collaboratively learn a shared global model. Despite the recent progress, it remains cha…
cs.CV2022
L2B: Learning to Bootstrap Robust Models for Combating Label Noise
Yuyin Zhou, Xianhang Li, Fengze Liu +6
Deep neural networks have shown great success in representation learning. However, when learning with noisy labels (LNL), they can easily overfit and fail to generalize to new data…