Referring Expression Comprehension on RefCOCO+ UNC (val)
79.74Precision@0.5 IoUGSVA-Llama2-13B
Evaluation Results
| Method | Links | |
|---|---|---|
| GSVA-Llama2-13BBackbone=Llama2-13B, Evaluation=Fine-tuned2023.12 | 79.74 | |
| GSVA-Vicuna-13BBackbone=Vicuna-13B, Evaluation=Fine-tuned2023.12 | 76.52 | |
| LISA-Vicuna-13BBackbone=Vicuna-13B, Evaluation=Fine-tuned2023.12 | 74.86 | |
| LISA-Llama2-13BBackbone=Llama2-13B, Evaluation=Fine-tuned2023.12 | 74.46 | |
| LISA-Vicuna-7BBackbone=Vicuna-7B, Evaluation=Fine-tuned2023.12 | 74.23 | |
| u-LLaVA-7BStrategy=full-ft2023.12 | 74.09 | |
| GSVA-Llama2-13BBackbone=Llama2-13B, Evaluation=Zero-shot2023.12 | 73.89 | |
| GSVA-Vicuna-7BBackbone=Vicuna-7B, Evaluation=Fine-tuned2023.12 | 72.81 | |
| GSVA-Vicuna-7BBackbone=Vicuna-7B, Evaluation=Zero-shot2023.12 | 70.21 | |
| u-LLaVA-7BStrategy=LoRA2023.12 | 68.74 | |
| GSVA-Vicuna-13BBackbone=Vicuna-13B, Evaluation=Zero-shot2023.12 | 68.14 | |
| LISA-Llama2-13BBackbone=Llama2-13B, Evaluation=Zero-shot2023.12 | 67.91 | |
| LISA-Vicuna-13BBackbone=Vicuna-13B, Evaluation=Zero-shot2023.12 | 63.77 | |
| LISA-Vicuna-7BBackbone=Vicuna-7B, Evaluation=Zero-shot2023.12 | 62.92 |