| Year | Title | Author | Publication | Code | Tasks | Notes | Datasets | Notions |
|---|---|---|---|---|---|---|---|---|
| 2020 | Contextual Diversity for Active Learning | Agarwal et al. | ECCV | code | Semantic Segmentation, Object Detection and Image classification | Contextual Diversity, CNNs, Reinforce Learning, PT+FT, Hard |
Cityscapes, BDD100K, PASCAL VOC 2007/2012, CIFAR-10, CIFAR-100 | |
| 2020 | Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost | Gao et al. | ECCV | - | Image Classification | Hybrid, ResNet-28, None, PT+FT, Hard |
CIFAR-10, CIFAR-100 and ImageNet | |
| 2020 | Two Stream Active Query Suggestion for Active Learning in Connectomics | Lin et al. | ECCV | - | Stream | |||
| 2020 | Dual Adversarial Network for Deep Active Learning | Wang et al. | ECCV | - | Image Classification, Sementic segmentation | hybrid, Wide-Resnet-Network, adversarial network, PT+FT, Hard |
CIFAR10/100 and Cityscapes, | |
| 2020 | Weight Decay Scheduling and Knowledge Distillation for Active Learning | Yun et al. | ECCV | - | Image CLassification | Uncertainty, Convolutional neural networks, Knowledge Distillation, PT+FT, Hard |
MNIST, CIFAR-10, and CIFAR-100 | Knowledge Distillation |