Semantic Segmentation With Oblique Convolution for Object Detection

Semantic Segmentation With Oblique Convolution for Object Detection

With the rapid development of artificial intelligence, object detection is playing an important role in the field of computer vision. Instead of anchors, we use pixel classification inspired by Semantic Segmentation to get the local extreme points of the four boundaries of an object and then the bou...

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Bibliographic Details
Main Authors: Yun Lin, Xiaogang Sun, Zhixuan Xie, Jiaqi Yi, Yong Zhong
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Artificial intelligence
computer vision
convolution neural network
machine learning
neural networks
object detection
Online Access:https://ieeexplore.ieee.org/document/8978575/

Internet

https://ieeexplore.ieee.org/document/8978575/

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