This work is licensed under the Creative Commons Attribution 4.0 International License.
Liao, Q., Wang, D., & Xu, M. (2022). Category attention transfer for efficient fine-grained visual categorization. Pattern recognition letters.Search in Google Scholar
Yang, L., Wang, P., Liu, C., Gao, Z., & Gaob, W. (2021). Towards fine-grained human pose transfer with detail replenishing network. IEEE Transactions on Image Processing, PP(99), 1–1.Search in Google Scholar
Teyssier, M., Bailly, G., Pelachaud, C., & Lecolinet, E. (2020). Conveying emotions through device-initiated touch. IEEE Transactions on Affective Computing, PP(99), 1–1.Search in Google Scholar
Wu, T., Peng, J., Zhang, W., Zhang, H., Tan, S., & Yi, F., et al. (2022). Video sentiment analysis with bimodal information-augmented multi-head attention. Knowledge-based systems(Jan.10), 235.Search in Google Scholar
Eskimez, S. E., Zhang, Y., & Duan, Z. (2021). Speech driven talking face generation from a single image and an emotion condition. IEEE Transactions on Multimedia.Search in Google Scholar
Lima, Cesar F.Anikin, AndreyMonteiro, Ana CatarinaScott, Sophie K.Castro, Sao Luis. (2019). Automaticity in the recognition of nonverbal emotional vocalizations. Nature reviews Cancer, 19(2).Search in Google Scholar
Lam, Michael, O., Hollingsworth, Jeffrey, & K. (2018). Fine-grained floating-point precision analysis. INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS, 32(2), 231–245.Search in Google Scholar
Sun, N., & Yang, P. (2023). T 2 l: trans-transfer learning for few-shot fine-grained visual categorization with extended adaptation. Knowledge-Based Systems, 264, 110329-.Search in Google Scholar
Song, K., Wei, X. S., Shu, X., Song, R. J., & Lu, J. (2020). Bi-modal progressive mask attention for fine-grained recognition. IEEE Transactions on Image Processing, PP(99), 1–1.Search in Google Scholar
Wu, L., Wang, Y., Li, X., & Gao, J. (2018). Deep attention-based spatially recursive networks for fine-grained visual recognition. IEEE Transactions on Cybernetics, 1791–1802.Search in Google Scholar
Zhou, F., Kong, S., Fowlkes, C. C., Chen, T., & Lei, B. (2020). Fine-grained facial expression analysis using dimensional emotion model. Neurocomputing, 392.Search in Google Scholar
Lin, Wang, Yang, Xue, Gao, & Junbin. (2019). Deep attention-based spatially recursive networks for fine-grained visual recognition. IEEE Transactions on Cybernetics.Search in Google Scholar
Yu, A. G. K. (2020). Densifying supervision for fine-grained visual comparisons. International Journal of Computer Vision, 128(10a11).Search in Google Scholar
Liu, X. (2020). Application of cloud-based visual communication design in internet of things image. Soft Computing, 24(4).Search in Google Scholar
Chen, J., Chen, Z., Chi, Z., & Fu, H. (2018). Facial expression recognition in video with multiple feature fusion. IEEE Transactions on Affective Computing, 1–1.Search in Google Scholar
Yao, H., Zhang, S., Yan, C., Zhang, Y., Li, J., & Tian, Q. (2018). Autobd: automated bi-level description for scalable fine-grained visual categorization. IEEE Transactions on Image Processing, 27(1), 10–23.Search in Google Scholar
Hossain, S., Umer, S., Rout, R. K., & Tanveer, M. (2023). Fine-grained image analysis for facial expression recognition using deep convolutional neural networks with bilinear pooling. Applied Soft Computing.Search in Google Scholar
Zhou, K., Sisman, B., Rana, R., Schuller, B., & Li, H. (2022). Emotion intensity and its control for emotional voice conversion. IEEE Transactions on Affective Computing, 14, 31–48.Search in Google Scholar