14 citations · 16 across the 5 of their papers we have counts for
5 papers
Pyramid Feature Attention Network for Monocular Depth Prediction
Yifang Xu, Chenglei Peng, Ming Li +2
Deep convolutional neural networks (DCNNs) have achieved great success in monocular depth estimation (MDE). However, few existing works take the contributions for MDE of different…
X-MLP: A Patch Embedding-Free MLP Architecture for Vision
Xinyue Wang, Zhicheng Cai, Chenglei Peng
Convolutional neural networks (CNNs) and vision transformers (ViT) have obtained great achievements in computer vision. Recently, the research of multi-layer perceptron (MLP) archi…
Learn to Enhance the Negative Information in Convolutional Neural Network
Zhicheng Cai, Chenglei Peng, Qiu Shen
This paper proposes a learnable nonlinear activation mechanism specifically for convolutional neural network (CNN) termed as LENI, which learns to enhance the negative information…
Jitter: Random Jittering Loss Function
Zhicheng Cai, Chenglei Peng, Sidan Du
Regularization plays a vital role in machine learning optimization. One novel regularization method called flooding makes the training loss fluctuate around the flooding level. It…
Reborn Mechanism: Rethinking the Negative Phase Information Flow in Convolutional Neural Network
Zhicheng Cai, Kaizhu Huang, Chenglei Peng
This paper proposes a novel nonlinear activation mechanism typically for convolutional neural network (CNN), named as reborn mechanism. In sharp contrast to ReLU which cuts off the…