Classification and Localization of Objects Using Faster RCNN
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8451-0_24
Reference10 articles.
1. Girshick R et al (2013) Rich feature hierarchies for accurate object detection and semantic segmentation. https://doi.org/10.48550/ARXIV.1311.2524. https://arxiv.org/abs/1311.2524
2. Eggert C et al (2017) A closer look: small object detection in faster R-CNN. In: 2017 IEEE International conference on multimedia and expo (ICME). IEEE, July 2017. https://doi.org/10.1109/icme.2017.8019550
3. Girshick R et al (2016) Region-based convolutional networks for accurate object detection and segmentation. IEEE Trans Pattern Anal Mach Intell 38(1):142–158. https://doi.org/10.1109/tpami.2015.2437384
4. Abbas Sm, Singh SN (2018) Region-based object detection and classification using faster R-CNN. In: 2018 4th International conference on computational intelligence & communication technology (CICT). IEEE, Feb 2018. https://doi.org/10.1109/ciact.2018.8480413
5. Erhan D et al (2014) Scalable object detection using deep neural networks. In: 2014 IEEE Conference on computer vision and pattern recognition. IEEE, June 2014. https://doi.org/10.1109/cvpr.2014.276; Girshick R (2015) Fast R-CNN. https://doi.org/10.48550/ARXIV.1504.08083. https://arxiv.org/abs/1504.08083
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