[HTML][HTML] Few-shot image classification algorithm based on attention mechanism and weight fusion

X Meng, X Wang, S Yin, H Li - Journal of Engineering and Applied Science, 2023 - Springer
Aiming at the existing problems of metric-based methods, there are problems such as
inadequate feature extraction, inaccurate class feature representation, and single similarity …

[HTML][HTML] Few-shot image classification algorithm based on attention mechanism and weight fusion

X Meng, X Wang, S Yin, H Li - Journal of Engineering and …, 2023 - jeas.springeropen.com
Aiming at the existing problems of metric-based methods, there are problems such as
inadequate feature extraction, inaccurate class feature representation, and single similarity …

[HTML][HTML] Few-shot image classification algorithm based on attention mechanism and weight fusion

X Meng, X Wang, S Yin, H Li - Journal of Engineering and Applied …, 2023 - ncbi.nlm.nih.gov
Aiming at the existing problems of metric-based methods, there are problems such as
inadequate feature extraction, inaccurate class feature representation, and single similarity …

Few-shot image classification algorithm based on attention mechanism and weight fusion

X Meng, X Wang, S Yin, H Li - Journal of Engineering and Applied …, 2023 - europepmc.org
Aiming at the existing problems of metric-based methods, there are problems such as
inadequate feature extraction, inaccurate class feature representation, and single similarity …

Few-shot image classification algorithm based on attention mechanism and weight fusion

X Meng, X Wang, S Yin, H Li - Journal of Engineering and …, 2023 - search.proquest.com
Aiming at the existing problems of metric-based methods, there are problems such as
inadequate feature extraction, inaccurate class feature representation, and single similarity …

[PDF][PDF] Few-shot image classification algorithm based on attention mechanism and weight fusion

X Meng, X Wang, S Yin, H Li - Journal of Engineering and …, 2023 - jeas.springeropen.com
Aiming at the existing problems of metric-based methods, there are problems such as
inadequate feature extraction, inaccurate class feature representation, and single similarity …