Detection of citrus pests in double backbone network based on single shot multibox detector

Cao, 2017, Feature-fused SSD: fast detection for small objects, CoRR Cao, 2020, Real-time robust detector for underwater live crabs based on deep learning, Comput. Electron. Agric., 172, 10.1016/j.compag.2020.105339 Chen, 2019, A Novel Method for Real-Time Aircraft Detection in Airports Gao, 2020, Small object detection algorithm based on multi-feature fusion, Comput. Eng. Des., 41, 1905 Hu, 2021, A video streaming vehicle detection algorithm based on YOLOv4 Iqbal, 2018, An automated detection and classification of citrus plant diseases using image processing techniques: A review, Comput. Electron. Agric., 153, 12, 10.1016/j.compag.2018.07.032 Iqbal, 2019, Deep learning model integrating features and novel classifiers fusion for brain tumor segmentation Jiao, 2022, Adaptive feature fusion pyramid network for multi-classes agricultural pest detection, Comput. Electron. Agric., 195, 10.1016/j.compag.2022.106827 Li, 2017, FSSD: Feature Fusion Single Shot Multibox Detector, CoRR Liu, W., Anguelov, D., Erhan, D., Szegedy, C., Reed, S.E., Fu, C.-Y., Berg, A.C., 2016. SSD: Single Shot MultiBox Detector. Computer Vision - ECCV 2016 - 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part I, pp. 21-37. Liu, Y., Wang, Y., Wang, S., Liang, T., Zhao, Q., Tang, Z., Ling, H., 2020. CBNet: A Novel Composite Backbone Network Architecture for Object Detection. The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, pp. 11653-11660. Lu, X., Kang, X., Nishide, S., Ren, F., 2019. Object detection based on SSD-ResNet. 6th IEEE International Conference on Cloud Computing and Intelligence Systems, CCIS 2019, Singapore, December 19-21, 2019, pp. 89-92. Lyu, 2021, Small Object Recognition Algorithm of Grain Pests Based on SSD Feature Fusion, IEEE Access, 9, 43202, 10.1109/ACCESS.2021.3066510 Redmon, J., Farhadi, A., 2017. YOLO9000: Better, Faster, Stronger. 2017 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Honolulu, HI, USA, July 21-26, 2017, pp. 6517-6525. Redmon, J., Divvala, S., Girshick, R., Farhadi, A., 2015. You Only Look Once: Unified, Real-Time Object Detection. p. arXiv:1506.02640. Redmon, 2018, YOLOv3: An Incremental Improvement, CoRR Ren, 2017, Faster R-CNN: towards real-time object detection with region proposal networks, IEEE Trans. Pattern Anal. Mach. Intell., 39, 1137, 10.1109/TPAMI.2016.2577031 Singh, D., Jain, N., Jain, P., Kayal, P., Kumawat, S., Batra, N., 2020. PlantDoc: A Dataset for Visual Plant Disease Detection. 7th ACM IKDD CoDS and 25th COMAD, Hyderabad India, January 5-7, 2020, pp. 249-253. Sun, 2021, MEAN-SSD: A novel real-time detector for apple leaf diseases using improved light-weight convolutional neural networks, Comput. Electron. Agric., 189, 10.1016/j.compag.2021.106379 Xie, X., Han, X., Liao, Q., Shi, G., 2017. Visualization and Pruning of SSD with the base network VGG16. ICDLT '17, Chengdu, China, June 2-4, 2017, pp. 90-94. Yin, 2021, FD-SSD: An improved SSD object detection algorithm based on feature fusion and dilated convolution, Signal Process. Image Commun., 98, 10.1016/j.image.2021.116402 Zhang, 2020, SODNet: small object detection using deconvolutional neural network, IET Image Process., 14, 1662, 10.1049/iet-ipr.2019.0833 Zhao, 2020, A Balanced Feature Fusion SSD for Object Detection, Neural Process. Lett., 51, 2789, 10.1007/s11063-020-10228-5 Song, 2019, A residual SSD model based on window size clustering for traffic sign detection, Hunan Univ. Natural Sci., 46, 133 Yu, 2019, Research on outdoor small target detection method based on improved SSD, J. Shenyang Ligong Univ., 38, 83 Zhang, Y., Du, H., Sun, Y., Li, X., 2021. Improved SSD algorithm for remote sensing image object detection. Comput. Eng. 47, 252-258+265. Zheng, 2020, Small target detection algorithm in complex background, J. Zhejiang Univ. (Eng. Sci.), 54, 1777