.png){kind=icon}
返回
RegNet: Self-Regulated Network for Image Classification
.png){kind=icon}
OA
AI
DOI：10.1109/TNNLS.2022.3158966.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The ResNet and its variants have achieved remarkable successes in various computer vision tasks. Despite its success in making gradient flow through building blocks, the information communication of intermediate layers of blocks is ignored. To address this issue, in this brief, we propose to introduce a regulator module as a memory mechanism to extract complementary features of the intermediate layers, which are further fed to the ResNet. In particular, the regulator module is composed of convolutional recurrent neural networks (RNNs) [e.g., convolutional long short-term memories (LSTMs) or convolutional gated recurrent units (GRUs)], which are shown to be good at extracting spatio-temporal information. We named the new regulated network as regulated residual network (RegNet). The regulator module can be easily implemented and appended to any ResNet architecture. Experimental results on three image classification datasets have demonstrated the promising performance of the proposed architecture compared with the standard ResNet, squeeze-and-excitation ResNet, and other state-of-the-art architectures.
Keyword:
Regulators
Correlation
Convolution
Task analysis
Feature extraction
Computer architecture
Residual neural networks
Convolutional neural networks (CNNs)
convolutional recurrent neural networks (RNNs)
residue networks
期刊
IF:
8.9
论文数:
7.6K
被引数:
7.2W
机构
引用论文
Caw’s Walking State Recognition Based on Accelerometers and Gyroscopes Installed on Ear-Tags and Collar-Tags基于安装在耳标和项圈上的加速度计和陀螺仪的Caw步行状态识别
.png){kind=icon}
PREAI
分享收藏Generation of hydroxyl radicals by urban suspended particulate air matter. The role of iron ions城市悬浮颗粒物产生羟基自由基。铁离子的作用:
PREAI
分享收藏
Using the Unified Protocol for Transdiagnostic Treatment of Emotional Disorders With Youth Exhibiting Anger and Irritability使用统一的协议对表现出愤怒和易怒的年轻人进行情绪障碍的诊断治疗
PREAI
分享收藏Estimating the binding ability of onium ions with CO2and π systems: a computational investigation
PREAI
分享收藏Electronic structure and morphology of dark oxides on zinc generated by electrochemical treatmentOAAI
OAAI分享收藏X-ray investigation of the coordination and complex formation of lanthanoid ions in aqueous perchlorate and selenate solutions高氯酸盐和硒酸水溶液中镧系离子的配位和络合物形成的x射线研究
PREAI
分享收藏
查看更多内容