Zero-shot Classification on Flowers 102 (unseen)
81.26AccuracyCLIPFT + A
Evaluation results
| Method | Links | |
|---|---|---|
| CLIPFT + ABackbone=ViT-B/16, Prompting Strategy=LLM Attributes, Training Samples per Class=16, Training Protocol=Fine-tuned2024.01 | 81.26 | |
| CLIP + ABackbone=ViT-B/16, Prompting Strategy=LLM Attributes, Training Samples per Class=0, Training Protocol=Zero-shot (Pre-trained)2024.01 | 80.84 | |
| CLIPBackbone=ViT-B/16, Prompting Strategy=Standard, Training Samples per Class=0, Training Protocol=Zero-shot (Pre-trained)2024.01 | 77.05 | |
| CLIP-A-selfBackbone=ViT-B/16, Prompting Strategy=GPT Attributes, Training Samples per Class=16, Training Protocol=Adapter Tuning2024.01 | 75.3 |