object-detection-classification

Version 1.0.1 (29,2 Mo) par Muhammad Rashid

Object Detection and Classifications paper codes

http://thecomputervision.com/publications.php

Suivre

0.0

(0)

326 téléchargements

Mise à jour 6 juil. 2022

Afficher la licence sur GitHub

The code contains descriptive matlab functions
1-Deepnet algo contains the code for features extraction using neural networks and then feature selection adn then feature vector finalization
2- classifier training
3- Labels prediction
4- classifying video frames into classes from Caltech-101 dataset

Citation pour cette source

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.

Afficher d’autres styles

Compatibilité avec les versions de MATLAB

Créé avec R2018a

Compatible avec toutes les versions

Plateformes compatibles

Windows macOS Linux

Tags Ajouter des tags

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

codes

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

Version	Publié le	Notes de version
1.0.1	6 juil. 2022	Updated Codes
1.0.0	21 mars 2019		Télécharger

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} }