All Relations between representation and vit
| Publication | Sentence | Publish Date | Extraction Date | Species |
|---|---|---|---|---|
| Pan Huang, Peng He, Sukun Tian, Mingrui Ma, Peng Feng, Hualiang Xiao, Francesco Mercaldo, Antonella Santone, Jing Qi. A ViT-AMC Network with Adaptive Model Fusion and Multiobjective Optimization for Interpretable Laryngeal Tumor Grading from Histopathological Images. IEEE transactions on medical imaging. vol PP. 2022-08-26. PMID:36018875. | there is no guarantee that the vit and amc blocks will simultaneously have good feature representation capability. | 2022-08-26 | 2023-08-14 | Not clear |
| Pan Huang, Peng He, Sukun Tian, Mingrui Ma, Peng Feng, Hualiang Xiao, Francesco Mercaldo, Antonella Santone, Jing Qi. A ViT-AMC Network with Adaptive Model Fusion and Multiobjective Optimization for Interpretable Laryngeal Tumor Grading from Histopathological Images. IEEE transactions on medical imaging. vol PP. 2022-08-26. PMID:36018875. | the difference in feature representations learning between the vit and amc blocks is not obvious, so there is much redundant information in the two feature representations. | 2022-08-26 | 2023-08-14 | Not clear |
| Xudong Zhao, Mengmeng Zhang, Ran Tao, Wei Li, Wenzhi Liao, Lianfang Tian, Wilfried Philip. Fractional Fourier Image Transformer for Multimodal Remote Sensing Data Classification. IEEE transactions on neural networks and learning systems. vol PP. 2022-07-15. PMID:35839200. | unlike the attention-based representations in classic vit, frit is capable of speeding up the transformer architectures massively and learning valuable contextual information effectively and efficiently. | 2022-07-15 | 2023-08-14 | Not clear |