SFGNet detecting objects via spatial fine-grained feature and enhanced RPN with spatial context
Object detection, which is one of the most fundamental visual recognition tasks, has been a hotspot in computer vision. CNN (Convolutional Neural Networks) have been widely employed for building detector. Due to the success of RPN (Region Proposal Network), the two-stage detectors get both classific...
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2022-12-01
|
Series: | Systems Science & Control Engineering |
Subjects: | |
Online Access: | https://www.tandfonline.com/doi/10.1080/21642583.2022.2062479 |