Att-FPA: Boosting Feature Perceive for Object Detection

Att-FPA: Boosting Feature Perceive for Object Detection

The deep convolutional networks have a great success in vision classification tasks. For object detection, tasks are divided into two subtasks: localization and classification. The detectors scan the whole image to generate object proposals relying on the predefined anchors or points, then classify...

Full description

Bibliographic Details
Main Authors: Jingwei Liu, Yi Gu, Shumin Han, Zhibin Zhang, Jiafeng Guo, Xueqi Cheng
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Deep learning
computer vision
object detection
attention
feature representation
Online Access:https://ieeexplore.ieee.org/document/9385147/

Internet

https://ieeexplore.ieee.org/document/9385147/

Similar Items