5 citations · 8 across the 4 of their papers we have counts for
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cs.LG2021
Accelerating Multi-Objective Neural Architecture Search by Random-Weight Evaluation
Shengran Hu, Ran Cheng, Cheng He +3
For the goal of automated design of high-performance deep convolutional neural networks (CNNs), Neural Architecture Search (NAS) methodology is becoming increasingly important for…
cs.CV2021★ 2 cited
FaPN: Feature-aligned Pyramid Network for Dense Image Prediction
Shihua Huang, Zhichao Lu, Ran Cheng +1
Recent advancements in deep neural networks have made remarkable leap-forwards in dense image prediction. However, the issue of feature alignment remains as neglected by most exist…