135 citations · 408 across the 38 of their papers we have counts for
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cs.LG2020
NCGNN: Node-Level Capsule Graph Neural Network for Semisupervised Classification
Rui Yang, Wenrui Dai, Chenglin Li +2
Message passing has evolved as an effective tool for designing Graph Neural Networks (GNNs). However, most existing methods for message passing simply sum or average all the neighb…
cs.LG2020★ 1 cited
MimicNorm: Weight Mean and Last BN Layer Mimic the Dynamic of Batch Normalization
Wen Fei, Wenrui Dai, Chenglin Li +2
Substantial experiments have validated the success of Batch Normalization (BN) Layer in benefiting convergence and generalization. However, BN requires extra memory and float-point…
cs.CV2020★ 87 cited
AP-Loss for Accurate One-Stage Object Detection
Kean Chen, Weiyao Lin, Jianguo Li +3
One-stage object detectors are trained by optimizing classification-loss and localization-loss simultaneously, with the former suffering much from extreme foreground-background cla…