Fine-grained Image Classification on EuroSAT
49.09AccuracyDynaPrompt+FPP
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| DynaPrompt+FPPBackbone=CLIP-ViT/B16, Framework=DynaPrompt, Hard Prompt=a photo of a2026.04 | 49.09 | 8.49 | 5.72 | |
| DynaPrompt (Paper)Backbone=CLIP-ViT/B16, Framework=DynaPrompt, Hard Prompt=a photo of a2026.04 | 42.28 | — | — | |
| DynaPrompt+C-TPTBackbone=CLIP-ViT/B16, Framework=DynaPrompt, Hard Prompt=a photo of a2026.04 | 36.57 | 16.94 | 6.99 | |
| DynaPrompt+O-TPTBackbone=CLIP-ViT/B16, Framework=DynaPrompt, Hard Prompt=a photo of a2026.04 | 36.32 | 17.73 | 7.04 | |
| DynaPrompt (Replication)Backbone=CLIP-ViT/B16, Framework=DynaPrompt, Hard Prompt=a photo of a2026.04 | 35.91 | 33.76 | 8.53 |