Enhanced Semantic Image Segmentation Through Convolutional and Atrous Convolution Techniques
Enhanced Image content classification has improved dramatically with the advent of CNNs. This paper presents an enhanced method for semantic partitioning through merging traditional convolutional level and atrous (extended) convolution techniques. Our approach takes advantage of the hierarchical...
Saved in:
Main Authors: | Meghana, H.V., Ushashree, R. |
---|---|
Format: | Article |
Language: | English English |
Published: |
INTI International University
2024
|
Subjects: | |
Online Access: | http://eprints.intimal.edu.my/2091/1/joit2024_41.pdf http://eprints.intimal.edu.my/2091/2/630 http://eprints.intimal.edu.my/2091/ http://ipublishing.intimal.edu.my/joint.html |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
River segmentation with Atrous Convolution via DeepLabv3 / Nur Adilah Hamid
by: Hamid, Nur Adilah
Published: (2020) -
Performance Evaluation of Convolutions and Atrous Convolutions in Deep Networks for Retinal Disease Segmentation on Optical Coherence Tomography Volumes
by: Alsaih, K., et al.
Published: (2020) -
Performance Evaluation Of Convolutions And Atrous Convolutions In Deep Networks For Retinal Disease Segmentation On Optical Coherence Tomography Volumes
by: Alsaih, Khaled, et al.
Published: (2020) -
Zonal Segmentation of Prostate T2W-MRI using Atrous Convolutional Neural Network
by: Khan, Z., et al.
Published: (2019) -
Zonal Segmentation of Prostate T2W-MRI using Atrous Convolutional Neural Network
by: Khan, Z., et al.
Published: (2019)