Scene Semantic Recognition Based on Modified Fuzzy C-Mean and Maximum Entropy Using Object-to-Object Relations
With advances in machine vision systems (e.g., artificial eye, unmanned aerial vehicles, surveillance monitoring) scene semantic recognition (SSR) technology has attracted much attention due to its related applications such as autonomous driving, tourist navigation, intelligent traffic and remote ae...
Saved in:
| Main Authors: | Ahmad Jalal, Abrar Ahmed, Adnan Ahmed Rafique, Kibum Kim |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2021-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9353540/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Scene consistency enhances state representations of real-world objects
by: Yuri A. Markov, et al.
Published: (2025-05-01) -
Interaction-Aware Scene Debiasing for Action Recognition
by: Randy Cahya Wihandika, et al.
Published: (2025-01-01) -
Cascaded Dual-Inpainting Network for Scene Text
by: Chunmei Liu
Published: (2025-07-01) -
Turkish scene text recognition: Introducing extensive real and synthetic datasets and a novel recognition model
by: Serdar Yıldız
Published: (2024-12-01) -
Research on Indoor Object Detection and Scene Recognition Algorithm Based on Apriori Algorithm and Mobile-EFSSD Model
by: Wenda Zheng, et al.
Published: (2025-07-01)