Automatic image annotation based on deep learning models: A systematic review and future challenges
Recently, much attention has been given to image annotation due to the massive increase in image data volume. One of the image retrieval methods which guarantees the retrieval of images in the same way as texts are automatic image annotation (AIA). Consequently, numerous studies have been conducted...
Saved in:
Main Authors: | Adnan, Myasar Mundher, Mohd. Rahim, Mohd. Shafry, Rehman, Amjad, Mehmood, Zahid, Saba, Tanzila, Naqvi, Rizwan Ali |
---|---|
Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers Inc.
2021
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/95896/1/MohdShafry2021_AutomaticImageAnnotationBasedonDeepLearningModels.pdf http://eprints.utm.my/id/eprint/95896/ http://dx.doi.org/10.1109/ACCESS.2021.3068897 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An improved automatic image annotation approach using convolutional neural network-slantlet transform
by: Adnan, Myasar Mundher, et al.
Published: (2022) -
A review of methods for the image automatic annotation
by: Adnan, Myasar Mundher, et al.
Published: (2021) -
Automated image annotation with novel features based on deep ResNet50-SLT.
by: Adnan, Myasar Mundher, et al.
Published: (2023) -
An automatic approach for line detection and removal without smash-up characters
by: Rehman, Amjad, et al.
Published: (2011) -
Performance analysis of character segmentation approach for cursive script recognition on benchmark database
by: Rehman, Amjad, et al.
Published: (2011)