Unsupervised Semantic Segmentation through Cross-Instance Representation Similarity
Semantic segmentation methods using deep neural networks typically require huge volumes of annotated data to train properly. Due to the expense of collecting these pixel-level dataset annotations, the problem of semantic segmentation without ground-truth labels has been recently proposed. Many curre...
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Digital WPI
2020
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| Online Access: | https://digitalcommons.wpi.edu/etd-theses/1371 https://digitalcommons.wpi.edu/cgi/viewcontent.cgi?article=2392&context=etd-theses |