Improved YOLOv3 Garbage Classification and Detection Model for Edge Computing Devices

Zipeng Wang; Rongfen Zhang; Yuhong Liu; Jihui Huang; Zhixu Chen

doi:10.3788/LOP202259.0415002

[1] Wang S C. An intelligent garbage sorting box[P].

[2] Miao J H. A garbage sorting device[P].

[3] Ge J Z, Li J X, Wu K W et al. Interactive garbage automatic sorting and recycling bin[P].

[4] Liu B, Gan J H, Wen B, Wang J et al. An automatic sorting and recycling method for campus garbage based on deep learning was proposed[P].

[5] Ning K, Zhang D B, Yin F et al. Garbage detection and classification of intelligent sweeping robot based on visual perception[J]. Journal of Image and Graphics, 24, 1358-1368(2019).

[6] Krizhevsky A, Sutskever I, Hinton G E. ImageNet classification with deep convolutional neural networks[J]. Communications of the ACM, 60, 84-90(2017).

[7] Russakovsky O, Deng J, Su H et al. ImageNet large scale visual recognition challenge[J]. International Journal of Computer Vision, 115, 211-252(2015).

[8] LeCun Y, Bengio Y, Hinton G. Deep learning[J]. Nature, 521, 436-444(2015).

[9] Girshick R, Donahue J, Darrell T et al. Rich feature hierarchies for accurate object detection and semantic segmentation[C], 580-587(2014).

[10] Girshick R. Fast R-CNN[C], 1440-1448(2015).

[11] Ren S Q, He K M, Girshick R et al. Faster R-CNN: towards real-time object detection with region proposal networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 1137-1149(2017).

[12] He K M, Gkioxari G, Dollár P et al. Mask R-CNN[C], 2980-2988(2017).

[13] Redmon J, Divvala S, Girshick R et al. You only look once: unified, real-time object detection[C], 779-788(2016).

[14] Redmon J, Farhadi A. YOLO9000: better, faster, stronger[C], 6517-6525(2017).

[15] Redmon J, Farhadi A. YOLOv3: an incremental improvement[EB/OL]. https://arxiv.org/abs/1804.02767

[16] Liu W, Anguelov D, Erhan D et al. SSD: single shot MultiBox detector[M]. Computer vision-ECCV 2016, 9905, 21-37(2016).

[17] Li C Y, Yao J M, Lin Z X et al. Object detection method based on improved YOLO lightweight network[J]. Laser & Optoelectronics Progress, 57, 141003(2020).

[18] Cui J H, Zhang Y Z, Wang Z et al. Light-weight object detection networks for embedded platform[J]. Acta Optica Sinica, 39, 0415006(2019).

[19] Chen L L, Zhang Z D, Peng L. Real-time detection based on improved single shot MultiBox detector[J]. Laser & Optoelectronics Progress, 56, 011002(2019).

[20] Howard A, Sandler M, Chen B et al. Searching for MobileNetv3[C], 1314-1324(2019).

[21] Chollet F. Xception: deep learning with depthwise separable convolutions[C], 1800-1807(2017).

[22] He K M, Zhang X Y, Ren S Q et al. Spatial pyramid pooling in deep convolutional networks for visual recognition[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37, 1904-1916(2015).

[23] Zheng Z H, Wang P, Liu W et al. Distance-IoU loss: faster and better learning for bounding box regression[J]. Proceedings of the AAAI Conference on Artificial Intelligence, 34, 12993-13000(2020).