A novel unified deep neural networks methodology for use by date recognition in retail food package image
2020 · Signal Image and Video Processing · 28 citations
https://doi.org/10.1007/s11760-020-01764-7
M
Mamatha Thota
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Mamatha Thota is an academic researcher from Sabancı Üniversitesi. The author has contributed to research in topics: Domain Adaptation and Few-Shot Learning & Industrial Vision Systems and Defect Detection & Human Pose and Action Recognition. The author has an h-index of 3, co-authored 10 publications.
ORCID: 0000-0001-6553-4028Papers by this author
worksMulti-source domain adaptation for quality control in retail food packaging
2020 · Computers in Industry · 23 citations
https://doi.org/10.1016/j.compind.2020.103293
LLEDA—Lifelong Self-Supervised Domain Adaptation
2023 · Knowledge-Based Systems · 8 citations
https://doi.org/10.1016/j.knosys.2023.110959
Hierarchical Training Improves Consistency of Pollen Classification on the Family Level
2025 · 0 citations
https://doi.org/10.1109/icipw68931.2025.11386195
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