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Real-Time Object Detection With Reduced Region Proposal Network via Multi-Feature Concatenation

IEEE Transactions on Neural Networks and Learning Systems

Aug 24, 2019

Kuan-Hung ShihYen-Yu Bu

Abstract

In recent years, object detection became more and more important following the successful results from studies in deep learning. Two types of neural network architectures are used for object detection: one-stage and two-stage. In this paper, we analyze a widely used two-stage architectu...read more

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Lenalidomide
CNN1
Study
Base
Biological Neural Networks
Classification
CREBZF protein, human
Fluorocitrate
Learning
Computed (Procedure)
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Real-Time Object Detection With Reduced Region Proposal Network via Multi-Feature Concatenation

IEEE Transactions on Neural Networks and Learning Systems

Aug 24, 2019

Kuan-Hung ShihYen-Yu Bu

PMID: 31443055

DOI: 10.1109/tnnls.2019.2929059

Abstract

In recent years, object detection became more and more important following the successful results from studies in deep learning. Two types of neural network architectures are used for object detection: one-stage and two-stage. In this paper, we analyze a widely used two-stage architectu...read more

Mentioned in this Paper

Lenalidomide
CNN1
Study
Base
Biological Neural Networks
Classification
CREBZF protein, human
Fluorocitrate
Learning
Computed (Procedure)
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