Object Detection on PASCAL VOC Novel Set 2 2007+2012
45.4mAP50Meta R-CNN
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Meta R-CNNBackbone=FRCN w/R-101, # shots=102020.03 | 45.4 | — | |
| MetaDetBackbone=FRCN w/VGG16, # shots=102020.03 | 43 | — | |
| MetaDetBackbone=YOLOv2, # shots=102020.03 | 41.5 | — | |
| FSRWBackbone=YOLOv2, # shots=102020.03 | 40.5 | — | |
| FRCN+ft-fullBackbone=FRCN w/R-101, Source=Yan et al., 2019, # shots=102020.03 | 39.1 | — | |
| TFA w/ cosBackbone=FRCN w/R-101, # shots=102020.03 | 39.1 | — | |
| TFA w/ fcBackbone=FRCN w/R-101, # shots=102020.03 | 39 | — | |
| FRCN+ft-fullBackbone=FRCN w/R-101, Source=Our Impl., # shots=102020.03 | 38.8 | — | |
| FRCN+joint-ftBackbone=FRCN w/VGG16, # shots=102020.03 | 36.5 | — | |
| TFA w/ fcBackbone=FRCN w/R-101, # shots=52020.03 | 35.5 | — | |
| TFA w/ cosBackbone=FRCN w/R-101, # shots=52020.03 | 35.1 | — | |
| Meta R-CNNBackbone=FRCN w/R-101, # shots=52020.03 | 34.8 | — | |
| TFA w/ cosBackbone=FRCN w/R-101, # shots=32020.03 | 34.1 | — | |
| YOLO-ft-fullBackbone=YOLOv2, # shots=102020.03 | 33.9 | — | |
| TFA w/ fcBackbone=FRCN w/R-101, # shots=32020.03 | 33.4 | — | |
| FRCN+ft-fullBackbone=FRCN w/R-101, Source=Our Impl., # shots=52020.03 | 32.4 | — | |
| MetaDetBackbone=FRCN w/VGG16, # shots=52020.03 | 31.7 | — | |
| FRCN+ft-fullBackbone=FRCN w/R-101, Source=Yan et al., 2019, # shots=52020.03 | 31.6 | — | |
| MetaDetBackbone=YOLOv2, # shots=52020.03 | 30.6 | — | |
| FSRWBackbone=YOLOv2, # shots=52020.03 | 30.1 | — | |
| Meta R-CNNBackbone=FRCN w/R-101, # shots=32020.03 | 29.6 | — | |
| FRCN+ftBackbone=FRCN w/R-101, # shots=52020.03 | 29.1 | — | |
| TFA w/ fcBackbone=FRCN w/R-101, # shots=22020.03 | 29 | — | |
| FRCN+ftBackbone=FRCN w/R-101, # shots=102020.03 | 28.8 | — | |
| FRCN+ft-fullBackbone=FRCN w/R-101, Source=Our Impl., # shots=32020.03 | 28.6 | — | |
| MetaDetBackbone=FRCN w/VGG16, # shots=32020.03 | 27.8 | — | |
| TFA w/ cosBackbone=FRCN w/R-101, # shots=22020.03 | 26.9 | — | |
| FRCN+ft-fullBackbone=FRCN w/R-101, Source=Yan et al., 2019, # shots=32020.03 | 26.2 | — | |
| MetaDetBackbone=YOLOv2, # shots=32020.03 | 25.9 | — | |
| TFA w/ cosBackbone=FRCN w/R-101, # shots=12020.03 | 23.5 | — | |
| FRCN+ftBackbone=FRCN w/R-101, # shots=32020.03 | 23.4 | — | |
| MetaDetBackbone=FRCN w/VGG16, # shots=22020.03 | 23.1 | — | |
| FSRWBackbone=YOLOv2, # shots=32020.03 | 22.7 | — | |
| MetaDetBackbone=FRCN w/VGG16, # shots=12020.03 | 21.8 | — | |
| MetaDetBackbone=YOLOv2, # shots=22020.03 | 20.6 | — | |
| FRCN+ft-fullBackbone=FRCN w/R-101, Source=Our Impl., # shots=22020.03 | 20.6 | — | |
| FRCN+joint-ftBackbone=FRCN w/VGG16, # shots=52020.03 | 19.5 | — | |
| Meta R-CNNBackbone=FRCN w/R-101, # shots=22020.03 | 19.4 | — | |
| MetaDetBackbone=YOLOv2, # shots=12020.03 | 18.2 | — | |
| TFA w/ fcBackbone=FRCN w/R-101, # shots=12020.03 | 18.2 | — | |
| FRCN+joint-ftBackbone=FRCN w/VGG16, # shots=32020.03 | 17.6 | — | |
| YOLO-ft-fullBackbone=YOLOv2, # shots=52020.03 | 16.1 | — | |
| FSRWBackbone=YOLOv2, # shots=12020.03 | 15.7 | — | |
| FSRWBackbone=YOLOv2, # shots=22020.03 | 15.3 | — | |
| FRCN+ft-fullBackbone=FRCN w/R-101, Source=Yan et al., 2019, # shots=22020.03 | 15.3 | — | |
| FRCN+ft-fullBackbone=FRCN w/R-101, Source=Our Impl., # shots=12020.03 | 13.4 | — | |
| FRCN+joint-ftBackbone=FRCN w/VGG16, # shots=22020.03 | 13.2 | — | |
| FRCN+jointBackbone=FRCN w/R-101, # shots=102020.03 | 12.6 | — | |
| YOLO-ft-fullBackbone=YOLOv2, # shots=12020.03 | 12.5 | — | |
| YOLO-ft-fullBackbone=YOLOv2, # shots=32020.03 | 11.6 | — | |
| FRCN+joint-ftBackbone=FRCN w/VGG16, # shots=12020.03 | 10.9 | — | |
| Meta R-CNNBackbone=FRCN w/R-101, # shots=12020.03 | 10.4 | — | |
| FRCN+jointBackbone=FRCN w/R-101, # shots=52020.03 | 9.9 | — | |
| FRCN+ftBackbone=FRCN w/R-101, # shots=22020.03 | 8.5 | — | |
| YOLO-ftBackbone=YOLOv2, # shots=12020.03 | 8.2 | — | |
| FRCN+jointBackbone=FRCN w/R-101, # shots=32020.03 | 8.1 | — | |
| FRCN+ft-fullBackbone=FRCN w/R-101, Source=Yan et al., 2019, # shots=12020.03 | 7.9 | — | |
| YOLO-ftBackbone=YOLOv2, # shots=102020.03 | 7.8 | — | |
| FRCN+ftBackbone=FRCN w/R-101, # shots=12020.03 | 5.9 | — | |
| YOLO-ft-fullBackbone=YOLOv2, # shots=22020.03 | 4.2 | — | |
| YOLO-ftBackbone=YOLOv2, # shots=22020.03 | 3.8 | — | |
| YOLO-ftBackbone=YOLOv2, # shots=32020.03 | 3.5 | — | |
| YOLO-ftBackbone=YOLOv2, # shots=52020.03 | 3.5 | — | |
| FRCN+jointBackbone=FRCN w/R-101, # shots=22020.03 | 2.6 | — | |
| FRCN+jointBackbone=FRCN w/VGG16, # shots=52020.03 | 1.9 | — | |
| FRCN+jointBackbone=FRCN w/R-101, # shots=12020.03 | 1.9 | — | |
| YOLO-jointBackbone=YOLOv2, # shots=52020.03 | 1.8 | — | |
| FRCN+jointBackbone=FRCN w/VGG16, # shots=102020.03 | 1.7 | — | |
| FRCN+jointBackbone=FRCN w/VGG16, # shots=32020.03 | 1.1 | — | |
| YOLO-jointBackbone=YOLOv2, # shots=22020.03 | 0.1 | — | |
| YOLO-jointBackbone=YOLOv2, # shots=12020.03 | 0 | — | |
| YOLO-jointBackbone=YOLOv2, # shots=32020.03 | 0 | — | |
| YOLO-jointBackbone=YOLOv2, # shots=102020.03 | 0 | — | |
| FRCN+jointBackbone=FRCN w/VGG16, # shots=12020.03 | 0 | — | |
| FRCN+jointBackbone=FRCN w/VGG16, # shots=22020.03 | 0 | — | |
| CMEShot=1, Method Category=Meta-Learning2023.04 | — | 27.2 | |
| CMEShot=2, Method Category=Meta-Learning2023.04 | — | 30.2 | |
| CMEShot=3, Method Category=Meta-Learning2023.04 | — | 41.4 | |
| CMEShot=5, Method Category=Meta-Learning2023.04 | — | 42.5 | |
| CMEShot=10, Method Category=Meta-Learning2023.04 | — | 46.8 | |
| DCNetShot=1, Method Category=Meta-Learning2023.04 | — | 23.2 | |
| DCNetShot=2, Method Category=Meta-Learning2023.04 | — | 24.8 | |
| DCNetShot=3, Method Category=Meta-Learning2023.04 | — | 30.6 | |
| DCNetShot=5, Method Category=Meta-Learning2023.04 | — | 36.7 | |
| DCNetShot=10, Method Category=Meta-Learning2023.04 | — | 46.6 | |
| DeFRCN+Meta-ScaledDynamic+AugShot=12023.04 | — | 34 | |
| DeFRCN+Meta-ScaledDynamic+AugShot=22023.04 | — | 43.1 | |
| DeFRCN+Meta-ScaledDynamic+AugShot=32023.04 | — | 51 | |
| DeFRCN+Meta-ScaledDynamic+AugShot=52023.04 | — | 53.6 | |
| DeFRCN+Meta-ScaledDynamic+AugShot=102023.04 | — | 54 | |
| FCTShot=1, Method Category=Meta-Learning2023.04 | — | 27.6 | |
| FCTShot=2, Method Category=Meta-Learning2023.04 | — | 34.5 | |
| FCTShot=3, Method Category=Meta-Learning2023.04 | — | 43.7 | |
| FCTShot=5, Method Category=Meta-Learning2023.04 | — | 49.2 | |
| FCTShot=10, Method Category=Meta-Learning2023.04 | — | 51.2 | |
| FsDetShot=1, Method Category=Meta-Learning2023.04 | — | 22.9 | |
| FsDetShot=2, Method Category=Meta-Learning2023.04 | — | 21.7 | |
| FsDetShot=3, Method Category=Meta-Learning2023.04 | — | 22.6 | |
| FsDetShot=5, Method Category=Meta-Learning2023.04 | — | 25.6 | |
| FsDetShot=10, Method Category=Meta-Learning2023.04 | — | 29.2 |