ssFPN: Scale Sequence (<i>S</i><sup>2</sup>) 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...
Main Authors: | Hye-Jin Park, Ji-Woo Kang, Byung-Gyu Kim |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-04-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/23/9/4432 |
Similar Items
-
Quad-FPN: A Novel Quad Feature Pyramid Network for SAR Ship Detection
by: Tianwen Zhang, et al.
Published: (2021-07-01) -
HA-FPN: Hierarchical Attention Feature Pyramid Network for Object Detection
by: Jin Dang, et al.
Published: (2023-05-01) -
Adaptive Feature Pyramid Networks for Object Detection
by: Chengyang Wang, et al.
Published: (2021-01-01) -
Compression of Multiscale Features of FPN with Channel-Wise Reduction for VCM
by: Dong-Ha Kim, et al.
Published: (2023-06-01) -
MPTC-FPN: A Multilayer Progressive FPN With Transformer-CNN Based Encoder for Salient Object Detection
by: Xiaoqi Yang, et al.
Published: (2022-01-01)