Object Detection on PASCAL VOC 2007+2012 (Novel Set 1)
57mAP50TFA w/ fc
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| TFA w/ fcBackbone=FRCN w/R-101, # shots=102020.03 | 57 | — | — | — | |
| TFA w/ cosBackbone=FRCN w/R-101, # shots=102020.03 | 56 | — | — | — | |
| TFA w/ fcBackbone=FRCN w/R-101, # shots=52020.03 | 55.7 | — | — | — | |
| TFA w/ cosBackbone=FRCN w/R-101, # shots=52020.03 | 55.7 | — | — | — | |
| Meta R-CNNBackbone=FRCN w/R-101, # shots=102020.03 | 51.5 | — | — | — | |
| MetaDetBackbone=FRCN w/VGG16, # shots=102020.03 | 49.6 | — | — | — | |
| MetaDetBackbone=YOLOv2, # shots=102020.03 | 48.8 | — | — | — | |
| FSRWBackbone=YOLOv2, # shots=102020.03 | 47.2 | — | — | — | |
| Meta R-CNNBackbone=FRCN w/R-101, # shots=52020.03 | 45.7 | — | — | — | |
| FRCN+ft-fullBackbone=FRCN w/R-101, Source=Yan et al., 2019, # shots=102020.03 | 45.6 | — | — | — | |
| FRCN+ft-fullBackbone=FRCN w/R-101, Source=Our Impl., # shots=102020.03 | 45.5 | — | — | — | |
| TFA w/ cosBackbone=FRCN w/R-101, # shots=32020.03 | 44.7 | — | — | — | |
| TFA w/ fcBackbone=FRCN w/R-101, # shots=32020.03 | 43.6 | — | — | — | |
| FRCN+ft-fullBackbone=FRCN w/R-101, Source=Yan et al., 2019, # shots=52020.03 | 41.5 | — | — | — | |
| FRCN+ft-fullBackbone=FRCN w/R-101, Source=Our Impl., # shots=52020.03 | 40.1 | — | — | — | |
| TFA w/ cosBackbone=FRCN w/R-101, # shots=12020.03 | 39.8 | — | — | — | |
| FRCN+joint-ftBackbone=FRCN w/VGG16, # shots=102020.03 | 39.5 | — | — | — | |
| YOLO-ft-fullBackbone=YOLOv2, # shots=102020.03 | 38.6 | — | — | — | |
| FRCN+ftBackbone=FRCN w/R-101, # shots=52020.03 | 36.9 | — | — | — | |
| FRCN+ftBackbone=FRCN w/R-101, # shots=102020.03 | 36.9 | — | — | — | |
| MetaDetBackbone=FRCN w/VGG16, # shots=52020.03 | 36.8 | — | — | — | |
| TFA w/ fcBackbone=FRCN w/R-101, # shots=12020.03 | 36.8 | — | — | — | |
| TFA w/ cosBackbone=FRCN w/R-101, # shots=22020.03 | 36.1 | — | — | — | |
| MetaDetBackbone=YOLOv2, # shots=52020.03 | 35 | — | — | — | |
| Meta R-CNNBackbone=FRCN w/R-101, # shots=32020.03 | 35 | — | — | — | |
| FSRWBackbone=YOLOv2, # shots=52020.03 | 33.9 | — | — | — | |
| FRCN+ft-fullBackbone=FRCN w/R-101, Source=Yan et al., 2019, # shots=32020.03 | 32.8 | — | — | — | |
| MetaDetBackbone=FRCN w/VGG16, # shots=32020.03 | 30.2 | — | — | — | |
| TFA w/ fcBackbone=FRCN w/R-101, # shots=22020.03 | 29.1 | — | — | — | |
| FRCN+jointBackbone=FRCN w/R-101, # shots=102020.03 | 29 | — | — | — | |
| FRCN+ftBackbone=FRCN w/R-101, # shots=32020.03 | 29 | — | — | — | |
| FRCN+ft-fullBackbone=FRCN w/R-101, Source=Our Impl., # shots=32020.03 | 29 | — | — | — | |
| MetaDetBackbone=YOLOv2, # shots=32020.03 | 28.9 | — | — | — | |
| FSRWBackbone=YOLOv2, # shots=32020.03 | 26.7 | — | — | — | |
| Meta R-CNNBackbone=FRCN w/R-101, # shots=22020.03 | 25.5 | — | — | — | |
| FRCN+joint-ftBackbone=FRCN w/VGG16, # shots=52020.03 | 25 | — | — | — | |
| YOLO-ft-fullBackbone=YOLOv2, # shots=52020.03 | 24.8 | — | — | — | |
| MetaDetBackbone=FRCN w/VGG16, # shots=22020.03 | 20.6 | — | — | — | |
| FRCN+ft-fullBackbone=FRCN w/R-101, Source=Our Impl., # shots=22020.03 | 20.3 | — | — | — | |
| Meta R-CNNBackbone=FRCN w/R-101, # shots=12020.03 | 19.9 | — | — | — | |
| FRCN+ft-fullBackbone=FRCN w/R-101, Source=Yan et al., 2019, # shots=22020.03 | 19.6 | — | — | — | |
| MetaDetBackbone=YOLOv2, # shots=22020.03 | 19.1 | — | — | — | |
| MetaDetBackbone=FRCN w/VGG16, # shots=12020.03 | 18.9 | — | — | — | |
| MetaDetBackbone=YOLOv2, # shots=12020.03 | 17.1 | — | — | — | |
| FRCN+ftBackbone=FRCN w/R-101, # shots=22020.03 | 16.4 | — | — | — | |
| FSRWBackbone=YOLOv2, # shots=22020.03 | 15.5 | — | — | — | |
| FRCN+ft-fullBackbone=FRCN w/R-101, Source=Our Impl., # shots=12020.03 | 15.2 | — | — | — | |
| FSRWBackbone=YOLOv2, # shots=12020.03 | 14.8 | — | — | — | |
| FRCN+ft-fullBackbone=FRCN w/R-101, Source=Yan et al., 2019, # shots=12020.03 | 13.8 | — | — | — | |
| FRCN+joint-ftBackbone=FRCN w/VGG16, # shots=32020.03 | 13.7 | — | — | — | |
| YOLO-ft-fullBackbone=YOLOv2, # shots=32020.03 | 12.5 | — | — | — | |
| YOLO-ftBackbone=YOLOv2, # shots=102020.03 | 12.3 | — | — | — | |
| FRCN+ftBackbone=FRCN w/R-101, # shots=12020.03 | 11.9 | — | — | — | |
| FRCN+jointBackbone=FRCN w/R-101, # shots=52020.03 | 11.8 | — | — | — | |
| FRCN+joint-ftBackbone=FRCN w/VGG16, # shots=22020.03 | 10.9 | — | — | — | |
| YOLO-ft-fullBackbone=YOLOv2, # shots=22020.03 | 10.7 | — | — | — | |
| FRCN+joint-ftBackbone=FRCN w/VGG16, # shots=12020.03 | 9.1 | — | — | — | |
| YOLO-ftBackbone=YOLOv2, # shots=52020.03 | 7.5 | — | — | — | |
| YOLO-ft-fullBackbone=YOLOv2, # shots=12020.03 | 6.6 | — | — | — | |
| YOLO-ftBackbone=YOLOv2, # shots=22020.03 | 6.5 | — | — | — | |
| YOLO-ftBackbone=YOLOv2, # shots=32020.03 | 6.4 | — | — | — | |
| FRCN+jointBackbone=FRCN w/R-101, # shots=32020.03 | 4.3 | — | — | — | |
| YOLO-ftBackbone=YOLOv2, # shots=12020.03 | 3.2 | — | — | — | |
| FRCN+jointBackbone=FRCN w/R-101, # shots=22020.03 | 3.1 | — | — | — | |
| FRCN+jointBackbone=FRCN w/R-101, # shots=12020.03 | 2.7 | — | — | — | |
| YOLO-jointBackbone=YOLOv2, # shots=32020.03 | 1.8 | — | — | — | |
| YOLO-jointBackbone=YOLOv2, # shots=52020.03 | 1.8 | — | — | — | |
| YOLO-jointBackbone=YOLOv2, # shots=102020.03 | 1.8 | — | — | — | |
| FRCN+jointBackbone=FRCN w/VGG16, # shots=102020.03 | 1.7 | — | — | — | |
| FRCN+jointBackbone=FRCN w/VGG16, # shots=32020.03 | 1.2 | — | — | — | |
| FRCN+jointBackbone=FRCN w/VGG16, # shots=52020.03 | 0.9 | — | — | — | |
| FRCN+jointBackbone=FRCN w/VGG16, # shots=12020.03 | 0.3 | — | — | — | |
| YOLO-jointBackbone=YOLOv2, # shots=12020.03 | 0 | — | — | — | |
| YOLO-jointBackbone=YOLOv2, # shots=22020.03 | 0 | — | — | — | |
| FRCN+jointBackbone=FRCN w/VGG16, # shots=22020.03 | 0 | — | — | — | |
| CMEShot=1, Method Category=Meta-Learning2023.04 | — | — | — | 41.5 | |
| CMEShot=2, Method Category=Meta-Learning2023.04 | — | — | — | 47.5 | |
| CMEShot=3, Method Category=Meta-Learning2023.04 | — | — | — | 50.4 | |
| CMEShot=5, Method Category=Meta-Learning2023.04 | — | — | — | 58.2 | |
| CMEShot=10, Method Category=Meta-Learning2023.04 | — | — | — | 60.9 | |
| DCNetShot=1, Method Category=Meta-Learning2023.04 | — | — | — | 33.9 | |
| DCNetShot=2, Method Category=Meta-Learning2023.04 | — | — | — | 37.4 | |
| DCNetShot=3, Method Category=Meta-Learning2023.04 | — | — | — | 43.7 | |
| DCNetShot=5, Method Category=Meta-Learning2023.04 | — | — | — | 51.1 | |
| DCNetShot=10, Method Category=Meta-Learning2023.04 | — | — | — | 59.6 | |
| DeFRCN+Meta-ScaledDynamic+AugShot=12023.04 | — | — | — | 58.4 | |
| DeFRCN+Meta-ScaledDynamic+AugShot=22023.04 | — | — | — | 62.4 | |
| DeFRCN+Meta-ScaledDynamic+AugShot=32023.04 | — | — | — | 63.2 | |
| DeFRCN+Meta-ScaledDynamic+AugShot=52023.04 | — | — | — | 67.6 | |
| DeFRCN+Meta-ScaledDynamic+AugShot=102023.04 | — | — | — | 67.7 | |
| FCTShot=1, Method Category=Meta-Learning2023.04 | — | — | — | 49.9 | |
| FCTShot=2, Method Category=Meta-Learning2023.04 | — | — | — | 57.1 | |
| FCTShot=3, Method Category=Meta-Learning2023.04 | — | — | — | 57.9 | |
| FCTShot=5, Method Category=Meta-Learning2023.04 | — | — | — | 63.2 | |
| FCTShot=10, Method Category=Meta-Learning2023.04 | — | — | — | 67.1 | |
| FsDetShot=1, Method Category=Meta-Learning2023.04 | — | — | — | 25.4 | |
| FsDetShot=2, Method Category=Meta-Learning2023.04 | — | — | — | 20.4 | |
| FsDetShot=3, Method Category=Meta-Learning2023.04 | — | — | — | 37.4 | |
| FsDetShot=5, Method Category=Meta-Learning2023.04 | — | — | — | 36.1 | |
| FsDetShot=10, Method Category=Meta-Learning2023.04 | — | — | — | 42.3 |