BSNet : Bi-Similarity Network for Few-shot Fine-grained Image Classification
Few-shot learning for fine-grained image classification has gained recent attention in computer vision. Among the approaches for few-shot learning, due to the simplicity and effectiveness, metric-based methods are favorably state-of-the-art on many tasks. Most of the metric-based methods assume a si...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 30(2021) vom: 14., Seite 1318-1331
|
|---|
| 1. Verfasser: |
Li, Xiaoxu
(VerfasserIn) |
|---|
| Weitere Verfasser: |
Wu, Jijie,
Sun, Zhuo,
Ma, Zhanyu,
Cao, Jie,
Xue, Jing-Hao |
|---|
| Format: | Online-Aufsatz
|
|---|
| Sprache: | English |
|---|
| Veröffentlicht: |
2021
|
|---|
| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|
|---|
| Schlagworte: | Journal Article |
|---|