Object Detection on PASCAL VOC to Clipart target domain
48mAPDA-Ada
Evaluation results
| Method | Links | |||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| DA-AdaBackbone=ResNet-50, Architecture=Faster-RCNN, CLIP-based=true2024.10 | 48 | 42.3 | — | 48.9 | 45.9 | 49 | 71.8 | 55.6 | 15.4 | 50.7 | 56.6 | 19.9 | 20.6 | — | 75.1 | 73 | 29.2 | 37.5 | 21.5 | 52.5 | 52.9 | — | — | 61.3 | 80.7 | |
| CMTBackbone=ResNet-50, Architecture=Faster-RCNN, CLIP-based=false2024.10 | 47 | 39.8 | — | 38.7 | 39.7 | 60.4 | 35 | 56 | 7.1 | 60.1 | 60.4 | 35.8 | 28.1 | — | 56.3 | 80.1 | 55.5 | 20.3 | 32.8 | 42.3 | 38.2 | — | — | 67.8 | 84.5 | |
| SIGMA++Backbone=ResNet-50, Architecture=Faster-RCNN, CLIP-based=false2024.10 | 46.7 | 36.3 | — | 40.1 | 31.6 | 58 | 60.4 | 46.2 | 33.6 | 44.4 | 66.2 | 25.7 | 25.3 | — | 54.6 | 64.8 | 55.4 | 36.2 | 38.6 | 54.1 | 59.3 | — | — | 44.4 | 58.8 | |
| TIABackbone=ResNet-50, Architecture=Faster-RCNN, CLIP-based=false2024.10 | 46.3 | 42.2 | — | 36.9 | 37.3 | 43.7 | 71.8 | 49.7 | 18.2 | 44.9 | 58.9 | 18.2 | 29.1 | — | 66 | 67.4 | 49.7 | 27.4 | 27.8 | 57.1 | 50.6 | — | — | 40.7 | 87.8 | |
| OracleBackbone=ResNet-101, Framework=Faster R-CNN, Pre-training=ImageNet, Supervision=Trained with target domain ground truth annotations2020.03 | 45 | 33.3 | 47.6 | 43.1 | 38 | 24.5 | 82 | 57.4 | 22.9 | 48.4 | 49.2 | 37.9 | 46.4 | 41.1 | 54 | 73.7 | 39.5 | 36.7 | 19.1 | 53.2 | 52.9 | — | — | — | — | |
| MGADADetector=Faster-RCNN, Backbone=ResNet-1012022.03 | 44.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SIGMABackbone=ResNet-50, Architecture=Faster-RCNN, CLIP-based=false2024.10 | 44.5 | 40.1 | — | 37.4 | 31.1 | 54.9 | 54.3 | 46.6 | 23 | 44.7 | 65.6 | 23 | 22 | — | 55.4 | 67.2 | 55.2 | 32.9 | 40.8 | 45 | 58.6 | — | — | 42.8 | 55.6 | |
| UMTBackbone=ResNet-101, Framework=Faster R-CNN, Pre-training=ImageNet, Protocol=Full Unbiased Mean Teacher with dynamic teacher selection2020.03 | 44.1 | 39.6 | 59.1 | 32.4 | 35 | 45.1 | 61.9 | 48.4 | 7.5 | 46 | 67.6 | 21.4 | 29.5 | 48.2 | 75.9 | 70.5 | 56.7 | 25.9 | 28.9 | 39.4 | 43.6 | — | — | — | — | |
| UMTDetector=Faster-RCNN, Backbone=ResNet-1012022.03 | 44.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| UMTBackbone=ResNet-50, Architecture=Faster-RCNN, CLIP-based=false2024.10 | 44.1 | 39.6 | — | 32.4 | 35 | 45.1 | 61.9 | 48.4 | 7.5 | 46 | 67.6 | 21.4 | 29.5 | — | 59.1 | 70.5 | 56.7 | 25.9 | 28.9 | 39.4 | 43.6 | — | — | 48.2 | 75.9 | |
| FGRRBackbone=ResNet-50, Architecture=Faster-RCNN, CLIP-based=false2024.10 | 43.3 | 30.8 | — | 35.1 | 32.4 | 42.2 | 62.8 | 42.6 | 21.4 | 42.8 | 58.6 | 33.5 | 20.8 | — | 52.1 | 66.2 | 50.3 | 21.5 | 29.3 | 58.2 | 47 | — | — | 37.2 | 81.4 | |
| SAPNet (Ours)Backbone=VGG162020.03 | 42.2 | 27.4 | 70.8 | 32 | 27.9 | 42.4 | 63.5 | 47.5 | 14.3 | 48.2 | 46.1 | 31.8 | 17.9 | 43.8 | 68 | 68.1 | 49 | 18.7 | 20.4 | 55.8 | 51.3 | — | — | — | — | |
| SAPNetDetector=Faster-RCNN, Backbone=ResNet-1012022.03 | 42.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ATFDetector=Faster-RCNN, Backbone=ResNet-1012022.03 | 42.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PDDetector=Faster-RCNN, Backbone=ResNet-1012022.03 | 42.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DMBackbone=ResNet-101, Framework=Faster R-CNN, Pre-training=ImageNet2020.03 | 41.8 | 25.8 | 63.2 | 24.5 | 42.4 | 47.9 | 43.1 | 37.5 | 9.1 | 47 | 46.7 | 26.8 | 24.9 | 48.1 | 78.7 | 63 | 45 | 21.3 | 36.1 | 52.3 | 53.4 | — | — | — | — | |
| UMTSCABackbone=ResNet-101, Framework=Faster R-CNN, Pre-training=ImageNet, Protocol=Mean Teacher with cross-domain distillation and target-like augmentation2020.03 | 41.8 | 39.5 | 60 | 30.5 | 39.7 | 37.5 | 56 | 42.7 | 11.1 | 49.6 | 59.5 | 21 | 29.2 | 49.5 | 71.9 | 66.4 | 48 | 21.2 | 13.5 | 38.8 | 50.4 | — | — | — | — | |
| DBGLDetector=Faster-RCNN, Backbone=ResNet-1012022.03 | 41.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SCLBackbone=VGG162020.03 | 41.5 | 44.7 | 50 | 33.6 | 27.4 | 42.2 | 55.6 | 38.3 | 19.2 | 37.9 | 69 | 30.1 | 26.3 | 34.4 | 67.3 | 61 | 47.9 | 21.4 | 26.3 | 50.1 | 47.3 | — | — | — | — | |
| SCLBackbone=ResNet-101, Framework=Faster R-CNN, Pre-training=ImageNet2020.03 | 41.5 | 44.7 | 50 | 33.6 | 27.4 | 42.2 | 55.6 | 38.3 | 19.2 | 37.9 | 69 | 30.1 | 26.3 | 34.4 | 67.3 | 61 | 47.9 | 21.4 | 26.3 | 50.1 | 47.3 | — | — | — | — | |
| SCLDetector=Faster-RCNN, Backbone=ResNet-1012022.03 | 41.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CDDMSLadaptation_type=Domain Adaptation (DA)2023.09 | 40.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| HTCNBackbone=ResNet-1012020.03 | 40.3 | 33.6 | 58.9 | 34 | 23.4 | 45.6 | 57 | 39.8 | 12 | 39.7 | 51.3 | 21.1 | 20.1 | 39.1 | 72.8 | 63 | 43.1 | 19.3 | 30.1 | 50.2 | 51.8 | — | — | — | — | |
| HTCNBackbone=ResNet-101, Framework=Faster R-CNN, Pre-training=ImageNet2020.03 | 40.3 | 33.6 | 58.9 | 34 | 23.4 | 45.6 | 57 | 39.8 | 12 | 39.7 | 51.3 | 21.1 | 20.1 | 39.1 | 72.8 | 63 | 43.1 | 19.3 | 30.1 | 50.2 | 51.8 | — | — | — | — | |
| UaDANBackbone=ResNet-50, Architecture=Faster-RCNN, CLIP-based=false2024.10 | 40.2 | 35 | — | 41 | 24.4 | 21.3 | 69.8 | 53.5 | 2.3 | 34.2 | 61.2 | 31 | 29.5 | — | 73.7 | 62.2 | 61.3 | 13.9 | 7.6 | 48.6 | 23.9 | — | — | 47.9 | 63.6 | |
| CRDABackbone=ResNet-101, Framework=Faster R-CNN, Pre-training=ImageNet2020.03 | 38.3 | 28.7 | 55.3 | 31.8 | 26 | 40.1 | 63.6 | 36.6 | 9.4 | 38.7 | 49.3 | 17.6 | 14.1 | 33.3 | 74.3 | 61.3 | 46.3 | 22.3 | 24.3 | 49.1 | 44.3 | — | — | — | — | |
| SWDABackbone=ResNet-1012020.03 | 38.1 | 26.2 | 48.5 | 32.6 | 33.7 | 38.5 | 54.3 | 37.1 | 18.6 | 34.8 | 58.3 | 17 | 12.5 | 33.8 | 65.5 | 61.6 | 52 | 9.3 | 24.9 | 54.1 | 49.1 | — | — | — | — | |
| Strong-WeakBackbone=VGG162020.03 | 38.1 | 26.2 | 48.5 | 32.6 | 33.7 | 38.5 | 54.3 | 37.1 | 18.6 | 34.8 | 58.3 | 17 | 12.5 | 33.8 | 65.5 | 61.6 | 52 | 9.3 | 24.9 | 54.1 | 49.1 | — | — | — | — | |
| SWDABackbone=ResNet-101, Framework=Faster R-CNN, Pre-training=ImageNet2020.03 | 38.1 | 26.2 | 48.5 | 32.6 | 33.7 | 38.5 | 54.3 | 37.1 | 18.6 | 34.8 | 58.3 | 17 | 12.5 | 33.8 | 65.5 | 61.6 | 52 | 9.3 | 24.9 | 54.1 | 49.1 | — | — | — | — | |
| SW-DADetector=Faster-RCNN, Backbone=ResNet-1012022.03 | 38.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| UMTSCBackbone=ResNet-101, Framework=Faster R-CNN, Pre-training=ImageNet, Protocol=Mean Teacher with cross-domain distillation2020.03 | 37.6 | 40.1 | 69.3 | 26.8 | 29 | 24.9 | 39.4 | 42.7 | 8.6 | 39.8 | 63 | 14.9 | 18.8 | 43.6 | 66.1 | 63 | 40.7 | 31.7 | 8.7 | 27.5 | 53 | — | — | — | — | |
| DVAadaptation_type=Domain Adaptation (DA)2023.09 | 36.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SWDA* (only G)Backbone=ResNet-101, Alignment type=global alignment2020.03 | 36.4 | 30.5 | 48.5 | 33.6 | 24.8 | 41.2 | 48.9 | 32.4 | 17.2 | 34.5 | 55 | 19 | 13.6 | 35.1 | 66.2 | 63 | 45.3 | 12.5 | 22.6 | 45 | 38.9 | — | — | — | — | |
| WST-BSRBackbone=ResNet-1012020.03 | 35.7 | 28 | 64.5 | 23.9 | 19 | 21.9 | 64.3 | 43.5 | 16.4 | 42.2 | 25.9 | 30.5 | 7.9 | 25.5 | 67.6 | 54.5 | 36.4 | 10.3 | 31.2 | 57.4 | 43.5 | — | — | — | — | |
| WST-BSRBackbone=VGG162020.03 | 35.7 | 28 | 64.5 | 23.9 | 19 | 21.9 | 64.3 | 43.5 | 16.4 | 42.2 | 25.9 | 30.5 | 7.9 | 25.5 | 67.6 | 54.5 | 36.4 | 10.3 | 31.2 | 57.4 | 43.5 | — | — | — | — | |
| Caption-PLadaptation_type=Domain Adaptation (DA)2023.09 | 35.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DAF + NLTEBackbone=ResNet-50, Resolution=600, Noisy Rate (NR)=40%2022.04 | 34.1 | 32.8 | 45.5 | 30.8 | 29.8 | 35.7 | 43.2 | 43 | 6.4 | 32.7 | 45.9 | 19.8 | 10.8 | 31.1 | 43.4 | 56.4 | 43.3 | 19.6 | 24.8 | 42.5 | 43.9 | 2.2 | — | — | — | |
| UMTSBackbone=ResNet-101, Framework=Faster R-CNN, Pre-training=ImageNet, Protocol=Simple Mean Teacher2020.03 | 33.6 | 30.9 | 51.8 | 27.2 | 28 | 31.4 | 59 | 34.2 | 10 | 35.1 | 19.6 | 15.8 | 9.3 | 41.6 | 54.4 | 52.6 | 40.3 | 22.7 | 28.8 | 37.8 | 41.4 | — | — | — | — | |
| DAF + GCEBackbone=ResNet-50, Resolution=600, Noisy Rate (NR)=40%2022.04 | 33.3 | 27 | 36.2 | 31.1 | 26 | 33.8 | 42.9 | 41.2 | 2.6 | 37 | 45.3 | 19 | 17.2 | 33 | 42.9 | 54.6 | 45.7 | 17.6 | 19.6 | 21.4 | 41.9 | 1.4 | — | — | — | |
| R-CLIPadaptation_type=Domain Adaptation (DA)2023.09 | 33.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DAFBackbone=ResNet-50, Resolution=600, Noisy Rate (NR)=40%2022.04 | 31.9 | 24.5 | 39.4 | 29.1 | 26.9 | 32.8 | 46.5 | 40 | 4.7 | 36.1 | 42 | 21.3 | 10.6 | 27.8 | 37.3 | 52.8 | 39.7 | 17.5 | 26.9 | 36 | 46.2 | 0 | — | — | — | |
| IRGadaptation_type=Domain Adaptation (DA)2023.09 | 31.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DA-Faster w/ SDAT-ClassificationBatch Size=2, Backbone=ResNet-1012022.06 | 31.23 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DA-Faster w/ SDAT-ClassificationBatch Size=8, Backbone=ResNet-1012022.06 | 30.74 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DAF + SCEBackbone=ResNet-50, Resolution=600, Noisy Rate (NR)=40%2022.04 | 30.6 | 17.9 | 42.9 | 29.7 | 21.8 | 26.9 | 41.5 | 34.2 | 8.2 | 29.1 | 38.8 | 19.3 | 19.2 | 28.9 | 48.6 | 50.7 | 42.5 | 10.6 | 20.4 | 41.6 | 40.3 | -1.3 | — | — | — | |
| Adaptive MTadaptation_type=Domain Adaptation (DA)2023.09 | 30.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DA-FasterBatch Size=2, Backbone=ResNet-1012022.06 | 29.96 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DAF + CPBackbone=ResNet-50, Resolution=600, Noisy Rate (NR)=40%2022.04 | 29.9 | 24.8 | 40.9 | 31.1 | 22 | 31.2 | 33 | 40.8 | 4.4 | 34.6 | 36.8 | 18.5 | 13.8 | 29.6 | 41.3 | 51.7 | 38.6 | 14.2 | 27.8 | 26 | 37.8 | -2 | — | — | — | |
| DA-Faster w/ SDATBatch Size=2, Backbone=ResNet-1012022.06 | 29.04 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Source OnlyBackbone=ResNet-1012020.03 | 27.8 | 35.6 | 52.5 | 24.3 | 23 | 20 | 43.9 | 32.8 | 10.7 | 30.6 | 11.7 | 13.8 | 6 | 36.8 | 45.9 | 48.7 | 41.9 | 16.5 | 7.3 | 22.9 | 32 | — | — | — | — | |
| FRCNNBackbone=VGG162020.03 | 27.8 | 35.6 | 52.5 | 24.3 | 23 | 20 | 43.9 | 32.8 | 10.7 | 30.6 | 11.7 | 13.8 | 6 | 36.8 | 45.9 | 48.7 | 41.9 | 16.5 | 7.3 | 22.9 | 32 | — | — | — | — | |
| BaselineDetector=Faster-RCNN, Backbone=ResNet-1012022.03 | 27.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Source OnlyBackbone=ResNet-101, Framework=Faster R-CNN, Pre-training=ImageNet2020.03 | 27.7 | 26 | 45.9 | 23.2 | 22.1 | 20.1 | 51.7 | 29.8 | 9.4 | 34.6 | 13.6 | 30.1 | 0.9 | 33.7 | 50 | 37.2 | 46.2 | 18.9 | 6.7 | 34.1 | 20.5 | — | — | — | — | |
| DA-Faster w/ SDATBatch Size=8, Backbone=ResNet-1012022.06 | 27.64 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DA-FasterBatch Size=8, Backbone=ResNet-1012022.06 | 26.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| BDC-FasterBackbone=VGG162020.03 | 25.6 | 20.2 | 46.4 | 20.4 | 19.3 | 18.7 | 41.3 | 26.5 | 6.4 | 33.2 | 11.7 | 26 | 1.7 | 36.6 | 41.5 | 37.7 | 44.5 | 10.6 | 20.4 | 33.3 | 15.5 | — | — | — | — | |
| F-RCNNadaptation_type=Domain Adaptation (DA)2023.09 | 24.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DA-FasterBackbone=ResNet-1012020.03 | 19.8 | 15 | 34.6 | 12.4 | 11.9 | 19.8 | 21.1 | 23.2 | 3.1 | 22.1 | 26.3 | 10.6 | 10 | 19.6 | 39.4 | 34.6 | 29.3 | 1 | 17.1 | 19.7 | 24.8 | — | — | — | — | |
| DA-FasterBackbone=VGG162020.03 | 19.8 | 15 | 34.6 | 12.4 | 11.9 | 19.8 | 21.1 | 23.2 | 3.1 | 22.1 | 26.3 | 10.6 | 10 | 19.6 | 39.4 | 34.6 | 29.3 | 1 | 17.1 | 19.7 | 24.8 | — | — | — | — | |
| FCOS2023.06 | 14.57 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 1.54 | — | — | |
| MCCL2023.06 | 13.71 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 1.06 | — | — |