Fine-grained Image Classification on Oxford Flowers 102 (test)
99.3Base Accuracy (B)ToolFG
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| ToolFGTraining Strategy=per-dataset training, Evaluation Protocol=Zero-shot base-to-novel generalization2026.06 | 99.3 | 93.1 | 96.1 | |
| PromptSRCTraining Strategy=per-dataset training, Evaluation Protocol=Zero-shot base-to-novel generalization2026.06 | 98.1 | 76.5 | 86 | |
| DiVE-kTraining Strategy=per-dataset training, Evaluation Protocol=Zero-shot base-to-novel generalization2026.06 | 97.4 | 88.9 | 92.9 | |
| Fine-R1Training Strategy=per-dataset training, Evaluation Protocol=Zero-shot base-to-novel generalization2026.06 | 96.6 | 88.7 | 92.4 | |
| MaPLeTraining Strategy=per-dataset training, Evaluation Protocol=Zero-shot base-to-novel generalization2026.06 | 95.9 | 72.5 | 82.6 | |
| ViRFTTraining Strategy=per-dataset training, Evaluation Protocol=Zero-shot base-to-novel generalization2026.06 | 89.5 | 87.9 | 88.7 | |
| Qwen2.5-VL-7BTraining Strategy=per-dataset training, Evaluation Protocol=Zero-shot base-to-novel generalization2026.06 | 84.2 | 83.8 | 84 |