Using SURF to Improve ResNet-50 Model for Poultry Disease Recognition Algorithm
ResNet-50 is an architecture of residual network and known to have numerous advantages. However, the application of the model to the poultry domain for identifying chickens' diseases has demonstrated insufficient and overfitting results. This is due to the limitation in the training data set wh...
| Main Authors: | Quach, L.-D., Quoc, N.P., Thi, N.H., Tran, D.C., Hassan, M.F. |
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| Format: | Conference or Workshop Item |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.29865 / |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2020
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097530046&doi=10.1109%2fICCI51257.2020.9247698&partnerID=40&md5=bffdbd4018dc6f2b4b3626d4bdd92be7 http://eprints.utp.edu.my/29865/ |
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