Single Object Detection on Pascal VOC 2012 (mIoU)
45.59mIoUPromptHub
Evaluation Results
| Method | Links | |
|---|---|---|
| PromptHubLearning Paradigm=Prompt Fusion, Number of Prompts (N)=162026.03 | 45.59 | |
| CONDENSERLearning Paradigm=Prompt Fusion, Number of Prompts (N)=162026.03 | 44.64 | |
| PromptHubLearning Paradigm=Prompt Fusion, Number of Prompts (N)=12026.03 | 44.51 | |
| CONDENSERLearning Paradigm=Prompt Fusion, Number of Prompts (N)=12026.03 | 43.22 | |
| InMeMoLearning Paradigm=PEFT2026.03 | 43.21 | |
| Partial2GlobalLearning Paradigm=Retriever Training2026.03 | 30.66 | |
| SupPRLearning Paradigm=Retriever Training2026.03 | 28.22 | |
| Prompt-SelFLearning Paradigm=Zero-Shot2026.03 | 28.08 | |
| UnsupPRLearning Paradigm=Zero-Shot2026.03 | 26.84 | |
| RandomLearning Paradigm=Zero-Shot2026.03 | 25.45 | |
| MAE-VQGANPre-training=Figures dataset2022.09 | 25.36 | |
| MAE-VQGANPre-training=Figures dataset2022.09 | 25.23 | |
| MAE-VQGANPre-training=Figures dataset2022.09 | 24.19 | |
| Copybaseline=true2022.09 | 13.03 | |
| Copybaseline=true2022.09 | 12.38 | |
| Copybaseline=true2022.09 | 12.14 | |
| MAEPre-training=Figures dataset2022.09 | 5.84 | |
| MAEPre-training=Figures dataset2022.09 | 5.49 | |
| MAEPre-training=Figures dataset2022.09 | 5.24 | |
| VQGANPre-training=IN-1k2022.09 | 5.19 | |
| VQGANPre-training=IN-1k2022.09 | 5.1 | |
| VQGANPre-training=IN-1k2022.09 | 5.09 | |
| MAE-VQGANPre-training=IN-1k2022.09 | 3.34 | |
| MAE-VQGANPre-training=IN-1k2022.09 | 2.8 | |
| MAE-VQGANPre-training=IN-1k2022.09 | 2.8 | |
| VQGANPre-training=Figures dataset2022.09 | 2.48 | |
| VQGANPre-training=Figures dataset2022.09 | 2.27 | |
| VQGANPre-training=Figures dataset2022.09 | 1.99 | |
| MAEPre-training=IN-1k2022.09 | 1.62 | |
| MAEPre-training=IN-1k2022.09 | 1.62 | |
| MAEPre-training=IN-1k2022.09 | 1.37 | |
| BEITPre-training=IN-21k2022.09 | 0.24 | |
| BEITPre-training=IN-21k2022.09 | 0.19 | |
| BEITPre-training=Figures dataset2022.09 | 0.17 | |
| BEITPre-training=Figures dataset2022.09 | 0.16 | |
| BEITPre-training=Figures dataset2022.09 | 0.14 | |
| BEITPre-training=IN-21k2022.09 | 0.1 |