Results 271 to 280 of about 58,990 (298)

Averse Deep Semantic Segmentation

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019
Semantic segmentation consists in predicting whether any given pixel is part of the object of interest or not. Two types of errors are therefore possible: false positives and false negatives. For visualization and emphasis purposes, we might want to put special effort into reducing one type of error in detriment of the other.
Ricardo, Cruz   +2 more
openaire   +2 more sources

Semantic Segmentation without Annotating Segments

2013 IEEE International Conference on Computer Vision, 2013
Numerous existing object segmentation frameworks commonly utilize the object bounding box as a prior. In this paper, we address semantic segmentation assuming that object bounding boxes are provided by object detectors, but no training data with annotated segments are available.
Wei Xia   +4 more
openaire   +1 more source

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