Buckets:
| { | |
| "dataset": "Office-31", | |
| "model_name": "EUDA", | |
| "paper_title": "EUDA: An Efficient Unsupervised Domain Adaptation via Self-Supervised Vision Transformer", | |
| "paper_url": "https://arxiv.org/abs/2407.21311v1", | |
| "code_links": [], | |
| "metrics": { | |
| "Accuracy": "92" | |
| }, | |
| "table_metrics": { | |
| "Accuracy": "92" | |
| }, | |
| "prompts": [ | |
| "Given the following paper and codebase:\n Paper: EUDA: An Efficient Unsupervised Domain Adaptation via Self-Supervised Vision Transformer\n Codebase: https://github.com/a-abedi/euda\n\n Improve the EUDA model on the Office-31 dataset. The result\n should improve on the following metrics: {'Accuracy': '92'}. You must use only the codebase provided.\n " | |
| ] | |
| } |
Xet Storage Details
- Size:
- 716 Bytes
- Xet hash:
- 8a2145952e72290b97535dd8713e1964e3e87977ac7b199a677540b28edfda77
·
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