Learning discriminative localization from weakly labeled data
A framework for discriminative localization and classification is proposed. It works for both images and time series. It only requires weakly annotated data. It achieves results similar to those obtained with full supervision.
discriminative discovery object detection event detection image classification time series classification weakly supervised learning