Researchers From China Introduce A Re-Attention Method Called The Token Refinement Transformer (TRT) That Captures Object Level Semantics For The Task of WSOL

Object localization, a fundamental computer vision task, is crucial to many computer vision-based applications. While supervised approaches use manual location labels to learn to localize the objects directly, the accuracy of localization is affected by incomplete or improperly assigned location labels, and the cost of manual labeling should also be relatively high. In the Computer Vision community, weakly-supervised object localization (WSOL), which uses image-level labels, is a well-established and challenging task. Deep neural networks’ effectiveness in object detection has brought …

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