Object Detection on COCO (novel)
21.6AP (Novel)DAnA-FasterRCNN
Evaluation results
| Method | Links | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| DAnA-FasterRCNNShots=30, Backbone=ResNet-502021.02 | 21.6 | — | — | — | — | — | — | — | — | — | — | — | — | 20.3 | |
| DAnA-FasterRCNNShots=10, Backbone=ResNet-502021.02 | 18.6 | — | — | — | — | — | — | — | — | — | — | — | — | 17.2 | |
| RefCDshot=5, method_categorization=reference-based methods2026.05 | 17.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FSCEShots=30, Year=N/A, Averaged over 10 random seeds=false, Meta-learning based=false2021.03 | 16.4 | — | — | — | — | — | — | — | — | — | — | — | — | 16.2 | |
| SINEshot=5, method_categorization=reference-based methods2026.05 | 16 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MTFAK-shot=5, Incremental=false2021.05 | 15.8 | — | 28.12 | — | — | — | — | — | — | — | — | — | — | — | |
| Meta-DETRshot=5, method_categorization=pre-defined categories methods2026.05 | 15.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FSCEShots=30, Year=N/A, Averaged over 10 random seeds=true, Meta-learning based=false2021.03 | 15.3 | — | — | — | — | — | — | — | — | — | — | — | — | 14.2 | |
| FSIWShots=30, Year=ECCV 20, Averaged over 10 random seeds=true, Meta-learning based=true2021.03 | 14.7 | — | — | — | — | — | — | — | — | — | — | — | — | 12.2 | |
| Viewpoint EstimationShots=30, Backbone=ResNet-502021.02 | 14.7 | — | — | — | — | — | — | — | — | — | — | — | — | 12.2 | |
| iMTFAK-shot=5, Incremental=true2021.05 | 14.55 | — | 25.73 | — | — | — | — | — | — | — | — | — | — | — | |
| MPSRShots=30, Year=ECCV 20, Averaged over 10 random seeds=false, Meta-learning based=false2021.03 | 14.1 | — | — | — | — | — | — | — | — | — | — | — | — | 14.2 | |
| MPSRShots=30, Backbone=ResNet-502021.02 | 14.1 | — | — | — | — | — | — | — | — | — | — | — | — | 14.2 | |
| TFA w/ cosShots=30, Year=ICML 20, Averaged over 10 random seeds=false, Meta-learning based=false2021.03 | 13.7 | — | — | — | — | — | — | — | — | — | — | — | — | 13.4 | |
| TFA w/cosShots=30, Backbone=ResNet-502021.02 | 13.7 | — | — | — | — | — | — | — | — | — | — | — | — | 13.4 | |
| FSIWShots=10, Year=ECCV 20, Averaged over 10 random seeds=true, Meta-learning based=true2021.03 | 12.5 | — | — | — | — | — | — | — | — | — | — | — | — | 9.8 | |
| Viewpoint EstimationShots=10, Backbone=ResNet-502021.02 | 12.5 | — | — | — | — | — | — | — | — | — | — | — | — | 9.8 | |
| Meta-RCNNShots=30, Year=ICCV 19, Averaged over 10 random seeds=false, Meta-learning based=true2021.03 | 12.4 | — | — | — | — | — | — | — | — | — | — | — | — | 10.8 | |
| Meta R-CNNShots=30, Backbone=ResNet-502021.02 | 12.4 | — | — | — | — | — | — | — | — | — | — | — | — | 10.8 | |
| TFA w/ cosShots=30, Year=ICML 20, Averaged over 10 random seeds=true, Meta-learning based=false2021.03 | 12.1 | — | — | — | — | — | — | — | — | — | — | — | — | 12 | |
| FSCEShots=10, Year=N/A, Averaged over 10 random seeds=false, Meta-learning based=false2021.03 | 11.9 | — | — | — | — | — | — | — | — | — | — | — | — | 10.5 | |
| MetaDetShots=30, Year=ICCV 19, Averaged over 10 random seeds=false, Meta-learning based=true2021.03 | 11.3 | — | — | — | — | — | — | — | — | — | — | — | — | 10.3 | |
| FSCEShots=10, Year=N/A, Averaged over 10 random seeds=true, Meta-learning based=false2021.03 | 11.1 | — | — | — | — | — | — | — | — | — | — | — | — | 9.8 | |
| Attention RPNShots=10, Backbone=ResNet-502021.02 | 11.1 | — | — | — | — | — | — | — | — | — | — | — | — | 10.6 | |
| iFS R-CNNshot=5, method_categorization=pre-defined categories methods2026.05 | 10.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| iMTFAK-shot=1, Incremental=true2021.05 | 10.06 | — | 17.85 | — | — | — | — | — | — | — | — | — | — | — | |
| TFA w/ cosShots=10, Year=ICML 20, Averaged over 10 random seeds=false, Meta-learning based=false2021.03 | 10 | — | — | — | — | — | — | — | — | — | — | — | — | 9.3 | |
| TFA w/cosShots=10, Backbone=ResNet-502021.02 | 10 | — | — | — | — | — | — | — | — | — | — | — | — | 9.3 | |
| MPSRShots=10, Year=ECCV 20, Averaged over 10 random seeds=false, Meta-learning based=false2021.03 | 9.8 | — | — | — | — | — | — | — | — | — | — | — | — | 9.7 | |
| MPSRShots=10, Backbone=ResNet-502021.02 | 9.8 | — | — | — | — | — | — | — | — | — | — | — | — | 9.7 | |
| Siamese Mask R-CNNK-shot=5, Incremental=false2021.05 | 9.4 | — | 16.8 | — | — | — | — | — | — | — | — | — | — | — | |
| FSRWShots=30, Year=ICCV 19, Averaged over 10 random seeds=false, Meta-learning based=true2021.03 | 9.1 | — | — | — | — | — | — | — | — | — | — | — | — | 7.6 | |
| TFA w/ cosShots=10, Year=ICML 20, Averaged over 10 random seeds=true, Meta-learning based=false2021.03 | 9.1 | — | — | — | — | — | — | — | — | — | — | — | — | 8.8 | |
| Feature ReweightingShots=30, Backbone=ResNet-502021.02 | 9.1 | — | — | — | — | — | — | — | — | — | — | — | — | 7.6 | |
| Meta-RCNNShots=10, Year=ICCV 19, Averaged over 10 random seeds=false, Meta-learning based=true2021.03 | 8.7 | — | — | — | — | — | — | — | — | — | — | — | — | 6.6 | |
| Meta R-CNNShots=10, Backbone=ResNet-502021.02 | 8.7 | — | — | — | — | — | — | — | — | — | — | — | — | 6.6 | |
| Siamese Mask R-CNNK-shot=1, Incremental=false2021.05 | 8.6 | — | 15.3 | — | — | — | — | — | — | — | — | — | — | — | |
| MTFAShots=10, Incremental=false2021.05 | 8.52 | — | 15.53 | — | — | — | — | — | — | — | — | — | — | — | |
| MTFAK-shot=1, Incremental=false2021.05 | 8.26 | — | 15.24 | — | — | — | — | — | — | — | — | — | — | — | |
| iMTFAShots=10, Incremental=true2021.05 | 7.14 | — | 12.91 | — | — | — | — | — | — | — | — | — | — | — | |
| MetaDetShots=10, Year=ICCV 19, Averaged over 10 random seeds=false, Meta-learning based=true2021.03 | 7.1 | — | — | — | — | — | — | — | — | — | — | — | — | 5.9 | |
| LSTDShots=30, Year=AAAI 18, Averaged over 10 random seeds=false, Meta-learning based=false2021.03 | 6.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MTFAShots=5, Incremental=false2021.05 | 6.61 | — | 12.32 | — | — | — | — | — | — | — | — | — | — | — | |
| MTFAshot=5, method_categorization=pre-defined categories methods2026.05 | 6.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| iMTFAShots=5, Incremental=true2021.05 | 6.22 | — | 11.28 | — | — | — | — | — | — | — | — | — | — | — | |
| iMTFAshot=5, method_categorization=pre-defined categories methods2026.05 | 6.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FSRWShots=10, Year=ICCV 19, Averaged over 10 random seeds=false, Meta-learning based=true2021.03 | 5.6 | — | — | — | — | — | — | — | — | — | — | — | — | 4.6 | |
| Meta R-CNNShots=10, Incremental=false2021.05 | 5.6 | — | 14.2 | — | — | — | — | — | — | — | — | — | — | — | |
| Feature ReweightingShots=10, Backbone=ResNet-502021.02 | 5.6 | — | — | — | — | — | — | — | — | — | — | — | — | 4.6 | |
| IFSODShots=10, Backbone=ResNet-502021.02 | 5.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Meta R-CNNShots=5, Incremental=false2021.05 | 3.5 | — | 9.9 | — | — | — | — | — | — | — | — | — | — | — | |
| Meta R-CNNshot=5, method_categorization=pre-defined categories methods2026.05 | 3.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| iMTFAShots=1, Incremental=true2021.05 | 3.28 | — | 6.01 | — | — | — | — | — | — | — | — | — | — | — | |
| LSTDShots=10, Year=AAAI 18, Averaged over 10 random seeds=false, Meta-learning based=false2021.03 | 3.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MRCN+FT-fullShots=10, Incremental=false2021.05 | 2.5 | — | 5.7 | — | — | — | — | — | — | — | — | — | — | — | |
| MTFAShots=1, Incremental=false2021.05 | 2.47 | — | 4.85 | — | — | — | — | — | — | — | — | — | — | — | |
| MRCN+ft-fullShots=5, Incremental=false2021.05 | 1.3 | — | 3 | — | — | — | — | — | — | — | — | — | — | — | |
| Few-shot Object Detection via Feature Reweighting# Shots=102018.12 | — | 5.6 | 12.3 | 4.6 | 0.9 | 3.5 | 10.5 | 10.1 | 14.3 | 14.4 | 1.5 | 8.4 | 28.2 | — | |
| Few-shot Object Detection via Feature Reweighting# Shots=302018.12 | — | 9.1 | 19 | 7.6 | 0.8 | 4.9 | 16.8 | 13.2 | 17.7 | 17.8 | 1.5 | 10.4 | 33.5 | — | |
| FRCN+ft-fullShots=102026.06 | — | 6.5 | 13.4 | 5.9 | 1.8 | 5.3 | 11.3 | — | — | — | — | — | — | — | |
| FRCN+ft-fullShots=302026.06 | — | 11.1 | 21.6 | 10.3 | 2.9 | 8.8 | 18.9 | — | — | — | — | — | — | — | |
| FsDet w/cosShots=102026.06 | — | 10 | — | 9.2 | — | — | — | — | — | — | — | — | — | — | |
| FsDet w/cosShots=302026.06 | — | 13.7 | — | 13.4 | — | — | — | — | — | — | — | — | — | — | |
| FsDet w/cos (Our Impl.)Shots=102026.06 | — | 9.1 | 16.5 | 9.2 | 3.4 | 7.7 | 13.5 | — | — | — | — | — | — | — | |
| FsDet w/cos (Our Impl.)Shots=302026.06 | — | 12.8 | 23.8 | 12.9 | 4.8 | 10.8 | 19.1 | — | — | — | — | — | — | — | |
| FSRWShots=102026.06 | — | 5.6 | 12.3 | 4.6 | 0.9 | 3.5 | 10.5 | — | — | — | — | — | — | — | |
| FSRWShots=302026.06 | — | 9.1 | 19 | 7.6 | 0.4 | 2.9 | 12.3 | — | — | — | — | — | — | — | |
| LSTD(YOLO)# Shots=102018.12 | — | 0.4 | 1.1 | 0.2 | 0.2 | 0.7 | 0.6 | 5.8 | 7.9 | 7.9 | 0.6 | 5 | 15.3 | — | |
| LSTD(YOLO)# Shots=302018.12 | — | 0.6 | 1.4 | 0.3 | 0.2 | 0.8 | 1 | 7.1 | 9.1 | 9.2 | 0.4 | 3.9 | 18.7 | — | |
| LSTD(YOLO)-full# Shots=102018.12 | — | 3.2 | 8.1 | 2.1 | 0.9 | 2 | 6.5 | 7.8 | 10.4 | 10.4 | 1.1 | 5.6 | 19.6 | — | |
| LSTD(YOLO)-full# Shots=302018.12 | — | 6.7 | 15.8 | 5.1 | 0.4 | 2.9 | 12.3 | 10.9 | 14.3 | 14.3 | 0.9 | 7.1 | 27 | — | |
| Meta R-CNNShots=102026.06 | — | 8.7 | 19.1 | 6.6 | 2.3 | 7.7 | 14 | — | — | — | — | — | — | — | |
| Meta R-CNNShots=302026.06 | — | 12.4 | 25.3 | 10.8 | 2.8 | 11.6 | 19 | — | — | — | — | — | — | — | |
| MetaDetShots=102026.06 | — | 7.1 | 14.6 | 6.1 | 1 | 4.1 | 12.2 | — | — | — | — | — | — | — | |
| MetaDetShots=302026.06 | — | 11.3 | 21.7 | 8.1 | 1.1 | 6.2 | 17.3 | — | — | — | — | — | — | — | |
| Proposal Refinement (Ours)Shots=102026.06 | — | 9.4 | 17.4 | 9.3 | 3.3 | 8 | 14.2 | — | — | — | — | — | — | — | |
| Proposal Refinement (Ours)Shots=302026.06 | — | 13.6 | 25.6 | 13.5 | 4.8 | 11.9 | 20.9 | — | — | — | — | — | — | — | |
| YOLO-ft# Shots=102018.12 | — | 0.4 | 1.1 | 0.1 | 0.3 | 0.7 | 0.6 | 5.8 | 8 | 8 | 0.6 | 5.1 | 15.5 | — | |
| YOLO-ft# Shots=302018.12 | — | 0.6 | 1.5 | 0.3 | 0.2 | 0.7 | 1 | 7.4 | 9.4 | 9.4 | 0.4 | 3.9 | 19.3 | — | |
| YOLO-ft-full# Shots=102018.12 | — | 3.1 | 7.9 | 1.7 | 0.7 | 2 | 6.3 | 7.8 | 10.5 | 10.5 | 1.1 | 5.5 | 20 | — | |
| YOLO-ft-full# Shots=302018.12 | — | 7.7 | 16.7 | 6.4 | 0.4 | 3.3 | 14.4 | 11.7 | 15.3 | 15.3 | 1 | 7.7 | 29.2 | — |