| Year | Title | Author | Publication | Code | Tasks | Notes | Datasets | Notions |
|---|---|---|---|---|---|---|---|---|
| 2019 | Active Learning for Deep Detection Neural Networks | Aghdam et al. | ICCV | code | Object detection | Informative, CNNs, None, Tra, Hard |
CityPersons [30], Caltech Pedestrian [4] and BDD100K [29] datasets. | |
| 2019 | Variational Adversarial Active Learning | Sinha et al. | ICCV | code | Image Classification and Semantic Segmentation | diverse, VAE,Adversarial, Tra, Hard |
CIFAR10/CIFAR100, Caltech-256, ImageNet, Cityscaps, BDD100K | |
| 2019 | Deep Reinforcement Active Learning for Human-in-the-Loop Person Re-Identification | Liu et al. | ICCV | - | Person Re-Identification | Uncertainty, CNNs, Reinforcement Learning, Pre+FT, Hard |
Market-1501, CUHK01, DukeMTMC-ReID |