The workshop are expected to deal with data in a weakly supervised manner, which will cover but not limit to the following topics:

• Weakly supervised learning algorithms
• One/few shot learning for computer vision
• Learning with noisy webly data
• Weakly supervised learning for medical images
• Real world image applications, e.g. object semantic segmentation/detection/localization, scene parsing, etc.
• Real world video applications, e.g. action recognition, event detection, object tracking, video object detection/segmentation, etc.
• New datasets and metrics to evaluate the benefit of the weakly supervised approaches for the specific vision problems.