Computer and Modernization ›› 2022, Vol. 0 ›› Issue (10): 68-74.
Previous Articles Next Articles
Online:
2022-10-20
Published:
2022-10-21
YANG Zhen, SHAN Meng-jiao, YIN Zhi-jian, YANG Fan, LI Cui-mei. Fine-grained Image Classification via Channel Adaptive Discriminative Learning[J]. Computer and Modernization, 2022, 0(10): 68-74.
[1] | SIMONYAN K, ZISSERMAN A. Very deep convolutional networks for large-scale image recognition[J]. arXiv preprint arXiv:1409.1556, 2014. |
[2] | HE K M, ZHANG X Y, REN S Q, et al. Deep residual learning for image recognition[C]// Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2016:770-778. |
[3] | SZEGEDY C, VANHOUCKE V, IOFFE S, et al. Rethinking the inception architecture for computer vision[C]// Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2016:2818-2826. |
[4] | ZHANG H, XU T, ELHOSEINY M, et al. SPDA-CNN: Unifying semantic part detection and abstraction for fine-grained recognition[C]// Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2016:1143-1152. |
[5] | LAM M, MAHASSENI B, TODOROVIC S. Fine-grained recognition as HSnet search for informative image parts[C]// Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2017:6497-6506. |
[6] | BILEN H, VEDALDI A. Weakly supervised deep detection networks[C]// Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2016:2846-2854. |
[7] | FU J L, ZHENG H L, MEI T. Look closer to see better: Recurrent attention convolutional neural network for fine-grained image recognition[C]// Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2017:4476-4484. |
[8] | YANG Z, LUO T G, WANG D, et al. Learning to navigate for fine-grained classification[C]// Proceedings of the 2018 European Conference on Computer Vision. 2018,11218:438-454. |
[9] | SUN M, YUAN Y C, ZHOU F, et al. Multi-attention multi-class constraint for fine-grained image recognition[C]// Proceedings of the 2018 European Conference on Computer Vision. 2018,11220:834-850. |
[10] | WEI X S, XIE C W, WU J X, et al. Mask-CNN: Localizing parts and selecting descriptors for fine-grained bird species categorization[J]. Pattern Recognition, 2018,76:704-714. |
[11] | ZHENG H L, FU J L, MEI T, et al. Learning multi-attention convolutional neural network for fine-grained image recognition[C]// Proceedings of the 2017 IEEE International Conference on Computer Vision (ICCV). 2017:5219-5227. |
[12] | WEI X S, LUO J H, WU J X, et al. Selective convolutional descriptor aggregation for fine-grained image retrieval[J]. IEEE Transactions on Image Processing, 2017,26(6):2868-2881. |
[13] | HU T, QI H G, HUANG Q M, et al. See better before looking closer: Weakly supervised data augmentation network for fine-grained visual classification[J]. arXiv preprint arXiv:1901.09891, 2019. |
[14] | ZHENG H L, FU J L, ZHA Z J, et al. Looking for the devil in the details: Learning trilinear attention sampling network for fine-grained image recognition[C]// Proceedings of the 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2019:5007-5016.〖HJ0.55mm〗 |
[15] | LIN T Y, ROYCHOWDHURY A, MAJI S. Bilinear CNNs for fine-grained visual recognition[J]. arXiv preprint arXiv:1504.07889, 2015. |
[16] | GAO Y, BEIJBOM O, ZHANG N, et al. Compact bilinear pooling[C]// Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2016:317-326. |
[17] | KONG S, FOWLKES C. Low-rank bilinear pooling for fine-grained classification[C]// Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2017:7025-7034. |
[18] | YU C J, ZHAO X Y, ZHENG Q, et al. Hierarchical bilinear pooling for fine-grained visual recognition[C]// Proceedings of the 2018 European Conference on Computer Vision (ECCV). 2018,11220:595-610. |
[19] | GE W F, LIN X R, YU Y Z. Weakly supervised complementary parts models for fine-grained image classification from the bottom up[C]// Proceedings of the 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2019:3029-3038. |
[20] | GAO Y, HAN X T, WANG X, et al. Channel interaction networks for fine-grained image categorization[C]// Proceedings of the 2020 AAAI Conference on Artificial Intelligence. 2020,34(7):10818-10825. |
[21] | LI M, LEI L, SUN H, et al. Fine-grained visual classification via multilayer bilinear pooling with object localization[J]. The Visual Computer, 2022,38(3):811-820. |
[22] | TAN M, WANG G J, ZHOU J, et al. Fine-grained classification via hierarchical bilinear pooling with aggregated slack mask[J]. IEEE Access, 2019,7:117944-117953. |
[23] | DING Y, ZHOU Y Z, ZHU Y, et al. Selective sparse sampling for fine-grained image recognition[C]// Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision (ICCV). 2019:6598-6607. |
[24] | DING Y F, MA Z Y, WEN S G, et al. AP-CNN: Weakly supervised attention pyramid convolutional neural network for fine-grained visual classification[J]. IEEE Transactions on Image Processing, 2021,30:2826-2836. |
[25] | JADERBERG M, SIMONYAN K, ZISSERMAN A, et al. Spatial transformer networks[C]// Proceedings of the 28th International Conference on Neural Information Processing Systems. 2015,2:2017-2025. |
[26] | ZHOU B L, KHOSLA A, LAPEDRIZA A, et al. Learning deep features for discriminative localization[C]// Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2016:2921-2929. |
[27] | HU J, SHEN L, ALBANIE S, et al. Squeeze-and-excitation networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020,42(8):2011-2023. |
[28] | MA N N, ZHANG X Y, LIU M, et al. Activate or not: Learning customized activation[C]// Proceedings of the 2021 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2021:8028-8038. |
[29] | WAH C, BRANSON S, WELINDER P, et al. The Caltech-UCSD birds-200-2011 dataset[R]. California Institute of Technology, 2011. |
[30] | KRAUSE J, STARK M, DENG J, et al. 3D object representations for fine-grained categorization[C]// Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops (ICCVW). 2013:554-561. |
[31] | MAJI S, RAHTU E, KANNALA J, et al. Fine-grained visual classification of aircraft[J]. arXiv preprint arXiv:1306.5151, 2013. |
[1] | SHENG Jiang-an, CHEN Shu-rong. Mask-wearing Face Recognition Method Fused with Dual Attention Mechanism [J]. Computer and Modernization, 2023, 0(02): 72-77. |
[2] | LI Yan, LU Zheng-song, LI Qing-yun , YANG Shi-hai, ZHANG Xiao-long. Mask Detection Algorithm Based on Lightweight Structure and Re-parameterized Network [J]. Computer and Modernization, 2022, 0(07): 40-46. |
[3] | WU Biao, ZHOU Qing-hua, ZENG Xiao-wei. Stencil Character Recognition of Paper Medicine Packaging Based on Mask-RCNN [J]. Computer and Modernization, 2022, 0(02): 108-113. |
[4] | JIN Xin, ZENG Si-ke, LIU Yang, WU Chu-han. Mask Wearing Detection Algorithm Based on Improved YOLOv4 [J]. Computer and Modernization, 2022, 0(01): 85-90. |
[5] | ZHOU Kun-yang, ZHAO Meng-ting, ZHANG Hai-chao, SHAO Ye-qin. Human Pose Estimation Algorithm Based on Channel Splitting [J]. Computer and Modernization, 2021, 0(12): 27-36. |
[6] | LI Guo-jin, RONG Yu. Face Mask Detection Algorithm Based on DCN-SERes-YOLOv3 [J]. Computer and Modernization, 2021, 0(09): 12-20. |
[7] | FANG Zhou, CHENG Qing, PEI Xu-bin . Data Security Protection of Electricity Marketing Information System [J]. Computer and Modernization, 2019, 0(03): 111-. |
[8] | GUO Jian-pu. Flexible Use of Brush Tool in Adobe Photoshop CS [J]. Computer and Modernization, 2011, 1(8): 67-70. |
[9] | GUAN Yan;YU Zhong-dang. Study of Image Magnification Method Based on LS-SVR Filter [J]. Computer and Modernization, 2010, 1(5): 50-52. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||