Laser & Optoelectronics Progress, Volume. 58, Issue 12, 1210013(2021)
An Object Detection Algorithm Based on Contextual Self-Calibration And Dual-Attention Mechanism
[1] 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).
[2] Liu W, Anguelov D, Erhan D et al. SSD: single shot MultiBox detector[M]. //Leibe B, Matas J, Sebe N, et al. Computer vision-ECCV 2016. Lecture notes in computer science, 9905, 21-37(2016).
[3] Redmon J, Farhadi A. YOLO9000: better, faster, stronger[C]. //2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA, 6517-6525(2017).
[6] Zhou X Y, Zhuo J C, Krähenbühl P et al. Bottom-up object detection by grouping extreme and center points[C]. //2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 15-20, 2019, Long Beach, CA, USA., 850-859(2019).
[8] Tian Z, Shen C H, Chen H et al. FCOS: fully convolutional one-stage object detection[C]. //2019 IEEE/CVF International Conference on Computer Vision (ICCV), October 27-November 2, 2019, Seoul, Korea (South), 9626-9635(2019).
[9] Lin T Y, Dollár P, Girshick R et al. Feature pyramid networks for object detection[C]. //2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA., 936-944(2017).
[10] Woo S, Park J, Lee J Y et al. CBAM: convolutional block attention module[M]. //Ferrari V, Hebert M, Sminchisescu C, et al. Computer vision-ECCV 2018. Lecture notes in computer science, 11211, 3-19(2018).
[11] Ren Z J, Lin S Z, Li D W et al. Mask R-CNN object detection method based on improved feature pyramid[J]. Laser & Optoelectronics Progress, 56, 041502(2019).
[14] Zhu X Z, Hu H, Lin S et al. Deformable ConvNets V2: more deformable, better results[C]. //2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 15-20, 2019, Long Beach, CA, USA, 9300-9308(2019).
[17] Liu J J, Hou Q B, Cheng M M et al. Improving convolutional networks with self-calibrated convolutions[C]. //2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 13-19, 2020, Seattle, WA, USA., 10093-10102(2020).
[18] Li X, Wang W H, Hu X L et al. Selective kernel networks[C]. //2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 15-20, 2019, Long Beach, CA, USA., 510-519(2019).
Get Citation
Copy Citation Text
Junkai Luo, Baohua Zhang, Yanyue Zhang, Yu Gu, Yueming Wang, Xin Liu, Yan Ren, Jianjun Li, Ming Zhang. An Object Detection Algorithm Based on Contextual Self-Calibration And Dual-Attention Mechanism[J]. Laser & Optoelectronics Progress, 2021, 58(12): 1210013
Category: Image Processing
Received: Sep. 9, 2020
Accepted: Sep. 30, 2020
Published Online: Jun. 18, 2021
The Author Email: Zhang Baohua (zbh_wj2004@imust.cn)