Fine-grained Image Classification on Food-101
85.42AccuracyDynaPrompt (Paper)
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| DynaPrompt (Paper)Backbone=CLIP-ViT/B16, Framework=DynaPrompt, Hard Prompt=a photo of a2026.04 | 85.42 | — | — | |
| DynaPrompt (Replication)Backbone=CLIP-ViT/B16, Framework=DynaPrompt, Hard Prompt=a photo of a2026.04 | 84.92 | 6.75 | 18 | |
| DynaPrompt+FPPBackbone=CLIP-ViT/B16, Framework=DynaPrompt, Hard Prompt=a photo of a2026.04 | 84.51 | 2.94 | 21 | |
| LoRSPPre-trained Backbone=ViT-B/322026.06 | 84.36 | — | — | |
| DynaPrompt+C-TPTBackbone=CLIP-ViT/B16, Framework=DynaPrompt, Hard Prompt=a photo of a2026.04 | 83.58 | 2.21 | 19 | |
| LoR-VPPre-trained Backbone=ViT-B/322026.06 | 83.51 | — | — | |
| DynaPrompt+O-TPTBackbone=CLIP-ViT/B16, Framework=DynaPrompt, Hard Prompt=a photo of a2026.04 | 83.39 | 2.03 | 20 | |
| AutoVPPre-trained Backbone=ViT-B/322026.06 | 82.86 | — | — | |
| VPTPre-trained Backbone=ViT-B/322026.06 | 82.29 | — | — | |
| LPPre-trained Backbone=ViT-B/322026.06 | 82.18 | — | — |