References
- Wu Hongjie, Tian Chuangchuang, Tao Ran, et al. Research on Building Displacement Prediction Method Based on Graph Convolution Distillation Transformer. Journal of Suzhou University of Science and Technology (Natural Science Edition), 2024, 41(04): 128-138.
- Yao Yiying, Chen Junji, Ren Denghong, et al. Case Analysis of Medical Image Recognition and Diagnosis Based on Deep Learning. Application of Integrated Circuits, 2024, 41(12): 80-81.
- Liu Yuxin, Meng Yu, Deng Yupeng, et al. A Dual-Stream Extraction Model for High-Resolution Remote Sensing Building Images Integrating CNN and Transformer. Journal of Remote Sensing, 2024, 28(11): 2943-2953.
- Li Yunfei, Li Shuting, Zhang Shuai, et al. Research Progress on Deep Learning in Tumor Image Classification. Chinese Journal of Cancer Prevention and Treatment, 2024, 31(12): 719-724.
- Zong Haoyu, Qin Yuliang, You Ziyuan. Advances in Deep Learning Applications in Musculoskeletal Imaging. Imaging Research and Medical Applications, 2024, 8(10): 1-3.
- Liu Libing, Fu Liyao. Applications and Prospects of Deep Learning Technology in Medical Image Analysis. New Generation Information Technology, 2024, 7(01): 24-28.
- Hu Kun, Wu Guoqing, Hu Zuhui, et al. Research on Metal Surface Defect Image Classification Based on an Improved VGG16 Network. Computer Applications and Software, 2024, 41(06): 175-180.
- Liu Yansheng, Yu Qianru, Zhang Kun, et al. Establishment and Clinical Testing of a ResNet-Based Model for Colonoscopy Image Classification of Ulcerative Colitis. World Science and Technology-Modernization of Traditional Chinese Medicine, 2024, 26(09): 2346-2354.
- Lin Hailin, Chen Guoming, Tang Peiyu, et al. A Lightweight Image Classification Method Based on Convolutional Vision Transformer Fusion. Modern Computer, 2024, 30(22): 1-7.
- Chen Ning, Liu Fan, Dong Chenwei, et al. Few-Shot Image Classification Based on Local Contrastive Learning and New Class Feature Generation. Pattern Recognition and Artificial Intelligence, 2024, 37(10): 936-946.
- Wang Haibao, Liu Hongyan, Wei Zhi, et al. Research on Bone Marrow Cell Image Classification Based on Deep Learning. Genomics and Applied Biology, 2024, 43(Z2): 1872-1882.
- Gong Xuanjin. Long-Tailed Visual Recognition Method Based on Multi-Classifier Hierarchical Distillation. Modern Information Technology, 2024, 8(16): 49-52+59.
- Zhao Hongwei, Wu Hong, Mark, et al. An Image Classification Framework Based on Knowledge Distillation. Journal of Jilin University (Engineering Edition), 2024, 54(08): 2307-2312.
- Zhou Chengyang, Liu Wei, Wu Tianrun, et al. Rock Thin Section Image Classification Based on a Hybrid Expert Model. Journal of Jilin University (Science Edition), 2024, 62(04): 905-914.
- Zhang Li, Yang Minghui, Sun Jiacheng. Few-Shot Tea Leaf Disease Recognition Based on Attention Mechanism and Transfer Learning. Journal of Chinese Agricultural Mechanization, 2024, 45(10): 262-268.
- Zhao Tingting, Gao Huan, Chang Yuguang, et al. Fine-Grained Image Classification Method Based on Knowledge Distillation and Target Region Selection. Computer Applications Research, 2023, 40(09): 2863-2868.