| Year | Title | Author | Publication | Code | Tasks | Notes | Datasets | Notions |
|---|---|---|---|---|---|---|---|---|
| 2019 | Geometry in active learning for binary and multi-class image segmentation | Konyushkova et al. | CVIU | - | image segmentation |
Uncertainty, CNN, None, Tra,Hard |
Electron Microscopy, Magnetic Resonance | |
| 2018 | Active learning for designing detectors for infrequently occurring objects in wide-area satellite imagery | Prakash and Kak | CVIU | - | object detection |
Uncertainty, CNN, None, Tra, Hard |
large geographic areas in Australia. One is for detecting pedestrian crosswalks in a region that spans 180,000 sq. km, and the other is for detecting power transmission-line towers in a region that spans 150,000 sq. km. | |
| 2018 | Model-based active learning to detect an isometric deformable object in the wild with a deep architecture | Sankar and Bartoli | CVIU | - | objecti detection |
Entropy, R-CNN,Faseter RCNN, YOLO9000,None, Pre-FT, Hard |
PASCAL VOC 2012 dataset. |