Object_Detection_&_Classification

Version 1.0.1 (958 octets) par Muhammad Rashid

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https://github.com/rashidrao/object-detection-classification

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Mise à jour 21 mars 2019

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These codes are originally written for our object detection and classification paper.

Citation pour cette source

Muhammad Rashid (2024). Object_Detection_&_Classification (https://github.com/rashidrao-pk/Matlab), GitHub. Récupéré le avril 28, 2024.

Rashid, Muhammad, et al. “Object Detection and Classification: a Joint Selection and Fusion Strategy of Deep Convolutional Neural Network and SIFT Point Features.” Multimedia Tools and Applications, Springer Nature, Dec. 2018, doi:10.1007/s11042-018-7031-0.

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Les versions qui utilisent la branche GitHub par défaut ne peuvent pas être téléchargées

Version	Publié le	Notes de version
1.0.1	21 mars 2019	Code is having new function, al you need to align codes
1.0.0	21 mars 2019

Pour consulter ou signaler des problèmes liés à ce module complémentaire GitHub, accédez au dépôt GitHub.

MLA	Rashid, Muhammad, et al. “Object Detection and Classification: a Joint Selection and Fusion Strategy of Deep Convolutional Neural Network and SIFT Point Features.” Multimedia Tools and Applications, Springer Nature, Dec. 2018, doi:10.1007/s11042-018-7031-0.
APA	Rashid, M., Khan, M. A., Sharif, M., Raza, M., Sarfraz, M. M., & Afza, F. (2018). Object detection and classification: a joint selection and fusion strategy of deep convolutional neural network and SIFT point features. Multimedia Tools and Applications. Springer Nature. Retrieved from https://doi.org/10.1007%2Fs11042-018-7031-0
BibTeX	@article{Rashid_2018, doi = {10.1007/s11042-018-7031-0}, url = {https://doi.org/10.1007%2Fs11042-018-7031-0}, year = 2018, month = {dec}, publisher = {Springer Nature}, author = {Muhammad Rashid and Muhammad Attique Khan and Muhammad Sharif and Mudassar Raza and Muhammad Masood Sarfraz and Farhat Afza}, title = {Object detection and classification: a joint selection and fusion strategy of deep convolutional neural network and {SIFT} point features}, journal = {Multimedia Tools and Applications} }