Shelf Commodity Identification Method Based on Hybrid Fully Convolutional Automatic Encoder

Shelf Commodity Identification Method Based on Hybrid Fully Convolutional Automatic Encoder

At present, the semantic information segmentation algorithms mainly include FCN (Fully Convolutional Network), PSPNet (Pyramid Scene Parsing Network), Deeplab and so on. In view of the inadequate results of features extracted by these algorithms from RGB image, a hybrid fully convolutional autoencod...

Full description

Bibliographic Details
Main Authors: Aofeng Cheng, Guodong Chen, Zheng Wang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Fully convolutional neural network
autoencoder
object identification
shelf regulation
Online Access:https://ieeexplore.ieee.org/document/8911324/

Internet

https://ieeexplore.ieee.org/document/8911324/

Similar Items