Image-to-Text Retrieval on UCM (test)
19.33Recall@1Single Language
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| Single LanguageBackbone=CLIP(ViT-B-32), Params=151M, Method Category=CLIP-based methods2023.08 | 19.33 | 64 | 91.42 | 54.12 | — | — | |
| MRS-AdapterBackbone=CLIP(ViT-B-32), Params=0.16M, Method Category=CLIP-based methods2023.08 | 18.82 | 62.84 | 93.72 | 55.71 | — | — | |
| AdaptFormerBackbone=CLIP(ViT-B-32), Params=0.17M, Method Category=CLIP-based methods2023.08 | 18.74 | 63.49 | 91.16 | 53.69 | — | — | |
| AdapterBackbone=CLIP(ViT-B-32), Params=0.17M, Method Category=CLIP-based methods2023.08 | 18.2 | 62.47 | 95.77 | 52.74 | — | — | |
| Cross-Modal AdapterBackbone=CLIP(ViT-B-32), Params=0.16M, Method Category=CLIP-based methods2023.08 | 17.43 | 61.45 | 95.48 | 53.62 | — | — | |
| UniAdapterBackbone=CLIP(ViT-B-32), Params=0.55M, Method Category=CLIP-based methods2023.08 | 16.74 | 61.43 | 95.76 | 54.59 | — | — | |
| CLIP-AdapterBackbone=CLIP(ViT-B-32), Params=0.52M, Method Category=CLIP-based methods2023.08 | 14.61 | 51.03 | 84.14 | 44.82 | — | — | |
| Linear probeBackbone=CLIP(ViT-B-32), Params=1.05M, Method Category=CLIP-based methods2023.08 | 14.43 | 59.42 | 90.28 | 51.3 | — | — | |
| ConvpassBackbone=CLIP(ViT-B-32), Params=0.14M, Method Category=CLIP-based methods2023.08 | 14.24 | 58.67 | 94.51 | 52.91 | — | — | |
| MTFNBackbone=Faster R-CNN, biGRU, Params=77.90M, Method Category=Traditional methods2023.08 | 14.19 | 52.38 | 78.95 | 44.65 | — | — | |
| AMFMN-softBackbone=ResNet18, biGRU, Params=35.94M, Method Category=Traditional methods2023.08 | 14.19 | 51.71 | 78.48 | 45.97 | — | — | |
| Full fine-tuningBackbone=CLIP(ViT-B-32), Params=151M, Method Category=CLIP-based methods2023.08 | 13.9 | 56.95 | 91.81 | 52.43 | — | — | |
| VPTBackbone=CLIP(ViT-B-32), Params=0.46M, Method Category=CLIP-based methods2023.08 | 13.64 | 55.61 | 94.05 | 49.77 | — | — | |
| AMFMN-simBackbone=ResNet18, biGRU, Params=35.94M, Method Category=Traditional methods2023.08 | 13.43 | 51.81 | 76.48 | 45.68 | — | — | |
| LW-MCR-uBackbone=SqueezeNet, Params=1.65M, Method Category=Traditional methods2023.08 | 13.14 | 50.38 | 79.52 | 45.35 | — | — | |
| AMFMN-fusionBackbone=ResNet18, biGRU, Params=35.94M, Method Category=Traditional methods2023.08 | 12.86 | 53.24 | 79.43 | 46.08 | — | — | |
| SCAN t-iBackbone=Faster R-CNN, biGRU, Params=13.68M, Method Category=Traditional methods2023.08 | 12.76 | 50.38 | 77.24 | 44.67 | — | — | |
| CABIRBackbone=ResNet152, BERT+biGRU, Params=15.17M, Method Category=Traditional methods2023.08 | 12.67 | 54.19 | 89.23 | 48.3 | — | — | |
| VL-PromptBackbone=CLIP(ViT-B-32), Params=0.47M, Method Category=CLIP-based methods2023.08 | 12.51 | 51.57 | 91.52 | 47.5 | — | — | |
| SCAN i-tBackbone=Faster R-CNN, biGRU, Params=13.68M, Method Category=Traditional methods2023.08 | 12.48 | 46.86 | 71.71 | 43.43 | — | — | |
| LW-MCR-bBackbone=SqueezeNet, Params=1.65M, Method Category=Traditional methods2023.08 | 12 | 46.38 | 72.48 | 41.1 | — | — | |
| LW-MCR-dBackbone=SqueezeNet, Params=1.65M, Method Category=Traditional methods2023.08 | 11.9 | 50.95 | 75.24 | 44.68 | — | — | |
| CAMP-bceBackbone=Faster R-CNN, biGRU, Params=27.03M, Method Category=Traditional methods2023.08 | 11.71 | 47.24 | 76 | 43.92 | — | — | |
| VSE++Backbone=ResNet18, GRU, Params=15.78M, Method Category=Traditional methods2023.08 | 10.1 | 31.8 | 56.85 | 36.93 | — | — | |
| CAMP-tripletBackbone=Faster R-CNN, biGRU, Params=27.03M, Method Category=Traditional methods2023.08 | 9.9 | 46.19 | 76.29 | 42.22 | — | — | |
| CoOpBackbone=CLIP(ViT-B-32), Params=0.10M, Method Category=CLIP-based methods2023.08 | 9.78 | 48.34 | 87.41 | 44.95 | — | — | |
| Zero-shot CLIPBackbone=CLIP(ViT-B-32), Params=0.00M, Method Category=CLIP-based methods2023.08 | 7.33 | 35.14 | 54.57 | 33.08 | — | — |