ssFPN: Scale Sequence (S2) Feature-Based Feature Pyramid Network for Object Detection

ssFPN: Scale Sequence (S2) Feature-Based Feature Pyramid Network for Object Detection

Object detection is a fundamental task in computer vision. Over the past several years, convolutional neural network (CNN)-based object detection models have significantly improved detection accuracyin terms of average precision (AP). Furthermore, feature pyramid networks (FPNs) are essential module...

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Bibliographic Details
Main Authors: Kang, J.-W (Author), Kim, B.-G (Author), Park, H.-J (Author)
Format: Article
Language:English
Published: MDPI 2023
Subjects:
Classification (of information)
Convolution
Convolutional neural network
convolutional neural network (CNN)
Convolutional neural networks
deep learning
Deep learning
Detection models
Feature extraction
Feature pyramid
feature pyramid network
Feature pyramid network
Image enhancement
object detection
Object detection
Object recognition
Objects detection
Optical resolving power
Pyramid network
scale sequence (S2) feature
Scale sequence (S2) feature
Small objects
Online Access:View Fulltext in Publisher
View in Scopus

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