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ESFFA: Early‐Stage Feature Frequency Attack in Cross‐Domain Few‐Shot Learning
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| Published in: | IET Computer Vision |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1864030192684498946 |
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| collection | WordPress RSS FRELIP Feed Integration |
| container_title | IET Computer Vision |
| description | |
| discipline_display | Technology & Engineering |
| discipline_facet | Technology & Engineering |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:26064 |
| institution | FRELIP |
| journal_source_facet | IET Computer Vision |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | ESFFA: Early‐Stage Feature Frequency Attack in Cross‐Domain Few‐Shot Learning Image and Video Processing Technology & Engineering — Computing Technology & Engineering |
| sub_discipline_display | Technology & Engineering — Computing |
| sub_discipline_facet | Technology & Engineering — Computing |
| subject_display | Image and Video Processing Technology & Engineering — Computing Technology & Engineering Image and Video Processing Technology & Engineering — Computing Technology & Engineering |
| subject_facet | Image and Video Processing Technology & Engineering — Computing Technology & Engineering |
| title | ESFFA: Early‐Stage Feature Frequency Attack in Cross‐Domain Few‐Shot Learning |
| title_auth | ESFFA: Early‐Stage Feature Frequency Attack in Cross‐Domain Few‐Shot Learning |
| title_full | ESFFA: Early‐Stage Feature Frequency Attack in Cross‐Domain Few‐Shot Learning |
| title_fullStr | ESFFA: Early‐Stage Feature Frequency Attack in Cross‐Domain Few‐Shot Learning |
| title_full_unstemmed | ESFFA: Early‐Stage Feature Frequency Attack in Cross‐Domain Few‐Shot Learning |
| title_short | ESFFA: Early‐Stage Feature Frequency Attack in Cross‐Domain Few‐Shot Learning |
| title_sort | esffa: early‐stage feature frequency attack in cross‐domain few‐shot learning |
| topic | Image and Video Processing Technology & Engineering — Computing Technology & Engineering |
| url | https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/cvi2.70065?af=R |