Sparse-Filtered Convolutional Neural Networks with Layer-Skipping (SFCNNLS) for intra-class variation of vehicle type recognition
Vehicle type recognition has become an important application in Intelligence Transportation Systems (ITSs) to provide a safe and efficient road and transportation infrastructure. There are some challenges in implementing this technology including the complexity of the image that will distract accura...
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| Main Authors: | , |
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| Format: | Book Chapter |
| Language: | English English |
| Published: |
IOS Press
2017
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/42618/1/Sparse-filtered%20convolutional%20neural%20networks%20with%20layer-skipping.pdf http://umpir.ump.edu.my/id/eprint/42618/2/Sparse-filtered%20convolutional%20neural%20networks%20with%20layer-skipping%20%28SFCNNLS%29%20for%20intra-class%20variation%20of%20vehicle%20type%20recognition_ABS.pdf http://umpir.ump.edu.my/id/eprint/42618/ https://doi.org/10.3233/978-1-61499-822-8-194 https://doi.org/10.3233/978-1-61499-822-8-194 |
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http://umpir.ump.edu.my/id/eprint/42618/1/Sparse-filtered%20convolutional%20neural%20networks%20with%20layer-skipping.pdfhttp://umpir.ump.edu.my/id/eprint/42618/2/Sparse-filtered%20convolutional%20neural%20networks%20with%20layer-skipping%20%28SFCNNLS%29%20for%20intra-class%20variation%20of%20vehicle%20type%20recognition_ABS.pdf
http://umpir.ump.edu.my/id/eprint/42618/
https://doi.org/10.3233/978-1-61499-822-8-194
https://doi.org/10.3233/978-1-61499-822-8-194