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my name is Armin hadzik I will be presenting our work titled handling image and label resolution mismatch and remote sensing this is a collaboration with Scott Workman and Usman Rafiq overhead imagery is diverse and comes in many formats this diversity leads to Unique challenges when applying semantic segmentation algorithms for example how to handle resolution differences between input imagery and Target labels a problem we refer to as resolution mismatch in this work we explore how to generate fine-grained predictions when only low resolution labels are available for direct supervision our key Insight is that Exemplar high resolution labels are often available and that a method should be able to take advantage of this auxiliary data during model training without the corresponding imagery to Aid in producing fine grain output as high resolution imagery has become more available the cost of collecting pixel level annotations that match the image quality has become increasingly apparen
