Learning to Segment Blob-like Objects by Image-Level Counting
Konstantin Wüstefeld,
Robin Ebbinghaus,
Frank Weichert
Abstract:There is a high demand for manually annotated data in many of the segmentation tasks based on neural networks. Selecting objects pixel by pixel not only takes much time, but it can also lead to inattentiveness and to inconsistencies due to changing annotators for different datasets and monotonous work. This is especially, but not exclusively, the case with sensor data such as microscopy imaging, where many blob-like objects need to be annotated. In addressing these problems, we present a weakly supervised trai… Show more
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