DMPNet: Distributed Multi-Scale Pyramid Network for Real-Time Semantic Segmentation
In semantic segmentation, an input image is partitioned into multiple meaningful segments each corresponding to a specific object or region. Multi-scale context plays a vital role in the accurate recognition of objects of different sizes and hence is key to overall accuracy enhancement. To achieve t...
Main Authors: | Nadeem Atif, Saquib Mazhar, Shaik Rafi Ahamed, M. K. Bhuyan, Sultan Alfarhood, Mejdl Safran |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10415438/ |
Similar Items
-
Simple Scalable Multimodal Semantic Segmentation Model
by: Yuchang Zhu, et al.
Published: (2024-01-01) -
MAFNet: dual-branch fusion network with multiscale atrous pyramid pooling aggregate contextual features for real-time semantic segmentation
by: Shan Zhao, et al.
Published: (2024-04-01) -
CRFNet: Context ReFinement Network used for semantic segmentation
by: Taeghyun An, et al.
Published: (2023-10-01) -
Semantic Segmentation with Transfer Learning for Off-Road Autonomous Driving
by: Suvash Sharma, et al.
Published: (2019-06-01) -
Co-Training for Unsupervised Domain Adaptation of Semantic Segmentation Models
by: Jose L. Gómez, et al.
Published: (2023-01-01)