Enhanced Semantic Image Segmentation Through Convolutional and Atrous Convolution Techniques

• Main Authors: Meghana, H.V., Ushashree, R.
• Format: Article
• Language: English; English
• Published: INTI International University 2024
• Subjects: QA75 Electronic computers. Computer science; RA Public aspects of medicine; T Technology (General)
• 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

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...