Survey on semantic segmentation using deep learning techniques
Article Properties
-
LanguageEnglish
-
DOI (url)
-
Publication Date2019/04/01
-
Journal
-
Indian UGC (journal)
-
Refrences230
-
Citations279
-
Fahad Lateef ORCID (unauthenticated)
-
Yassine Ruichek
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Technology
Mechanical engineering and machinery
You May Also Like
- Accelerating a Recurrent Neural Network to Finite-Time Convergence for Solving Time-Varying Sylvester Equation by Using a Sign-Bi-power Activation Function
- Self-Adaptive Evolutionary Extreme Learning Machine
- Impulsive Synchronization of Stochastic Neural Networks via Controlling Partial States
- Multilayer feedforward networks are universal approximators
- Deep learning in neural networks: An overview
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Semantic image segmentation using fully convolutional neural networks with multi-scale images and multi-scale dilated convolutions | Multimedia Tools and Applications |
| 27 | 2018 |
| Survey of recent progress in semantic image segmentation with CNNs | Science China Information Sciences |
| 38 | 2018 |
| Incorporating network built-in priors in weakly-supervised semantic segmentation | IEEE Transactions on Pattern Analysis and Machine Intelligence |
| 2018 | |
| Deeplab: semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFS | IEEE Transactions on Pattern Analysis and Machine Intelligence |
| 2018 | |
| Scene segmentation with dag-recurrent neural networks | IEEE Transactions on Pattern Analysis and Machine Intelligence |
| 2018 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Enhanced fingerprint pattern classification: Integrating attention modules with lightweight deep learning models | Engineering Reports |
| 2024 | |
Rail‐Lane Extraction Based on Cutting‐Edge Deep Neural Networks and Graph‐Based Segmentation | IEEJ Transactions on Electrical and Electronic Engineering |
| 2024 | |
| LFFNet: lightweight feature-enhanced fusion network for real-time semantic segmentation of road scenes | Pattern Analysis and Applications |
| 2024 | |
Assessing Hierarchies by Their Consistent Segmentations | Journal of Mathematical Imaging and Vision |
| 2024 | |
| New design strategies of deep heterogenous convolutional neural networks ensembles for breast cancer diagnosis | Multimedia Tools and Applications |
| 2024 |
Citations Analysis
The category
Science: Mathematics: Instruments and machines: Electronic computers. Computer science 102
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled A Review of Deep Learning-Based Semantic Segmentation for Point Cloud and was published in 2019. The most recent citation comes from a 2024 study titled Effectiveness of Background Segmentation Algorithm and Deep Learning Technique for Detecting Anthracnose (leaf blight) and Golovinomyces cichoracearum (powdery mildew) in Rubber Plant. This article reached its peak citation in 2022, with 83 citations. It has been cited in 151 different journals, 31% of which are open access. Among related journals, the Neurocomputing cited this research the most, with 22 citations. The chart below illustrates the annual citation trends for this article.