Squeeze-and-Excitation Networks

Jie Hu, Li Shen, Gang Sun

Convolutional Neural NetworkMachine VisionMachine LearningNeural Networks (Machine Learning)Data Science +11

Squeeze-and-Excitation Networks

Jie Hu, Li Shen, Samuel Albanie, +2

IEEE Transactions on Pattern Analysis and Machine Intelligence

Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks

Jie Hu, Li Shen, Samuel Albanie, +2

arXiv (Cornell University)

Geometric LearningConvolutional Neural NetworkMachine VisionMachine LearningData Science +12

Involution: Inverting the Inherence of Convolution for Visual Recognition

Duo Li, Jie Hu, Changhu Wang, +5

Convolutional Neural NetworkMachine VisionMachine LearningImage AnalysisEngineering +12

A Key Volume Mining Deep Framework for Action Recognition

Wangjiang Zhu, Jie Hu, Gang Sun, +2

Convolutional Neural NetworkEngineeringMachine LearningKey VolumesVideo Interpretation +15

Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks

Jie Hu, Li Shen, Samuel Albanie, +2

Oxford University Research Archive (ORA) (University of Oxford)

Geometric LearningConvolutional Neural NetworkMachine VisionMachine LearningData Science +12

Surface defect detection of hot rolled steel based on multi-scale feature fusion and attention mechanism residual block

Hongkai Zhang, Suqiang Li, Qiqi Miao, +5

Scientific Reports

ISTR: End-to-End Instance Segmentation with Transformers

Jie Hu, Liujuan Cao, Yao Lu, +6

arXiv (Cornell University)

Convolutional Neural NetworkScene AnalysisEngineeringMachine LearningImage Analysis +14

Involution: Inverting the Inherence of Convolution for Visual Recognition

Duo Li, Jie Hu, Changhu Wang, +5

arXiv (Cornell University)

Convolutional Neural NetworkMachine VisionMachine LearningImage AnalysisEngineering +12

Pseudo-label Alignment for Semi-supervised Instance Segmentation

Jie Hu, Chen Chen, Liujuan Cao, +4

Scene AnalysisEngineeringMachine LearningMultiple Instance LearningSemi-supervised Instance Segmentation +15