An Adaptive Deep Learning Framework for Shipping Container Code Localization and Recognition
Author:
Funder
Mitacs
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/9259274/09166730.pdf?arnumber=9166730
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1. Modelling Studies of Automatic Container Code Recognition System for Real Time Implementation;2024 IEEE Symposium on Industrial Electronics & Applications (ISIEA);2024-07-06
2. Cellular Data Generator Based Siamese Container Marking Anomaly Detection Network;2024 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA);2024-06-14
3. A Two-Stage Automatic Container Code Recognition Method Considering Environmental Interference;Applied Sciences;2024-05-31
4. Automated Shipping Container Code Localization and Recognition Using Deep Learning;2024 Conference on Information Communications Technology and Society (ICTAS);2024-03-07
5. A Practical Unified Network for Localization and Recognition of Arbitrary-Oriented Container Code and Type;IEEE Transactions on Instrumentation and Measurement;2024
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