LarvSeg uses image classification data and a category-wise attentive classifier to extend semantic segmentation to 21,000 categories without mask labels for new categories.
In: Proceedings of the IEEE conference on computer vision and pattern recognition
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LarvSeg: Exploring Image Classification Data For Large Vocabulary Semantic Segmentation via Category-wise Attentive Classifier
LarvSeg uses image classification data and a category-wise attentive classifier to extend semantic segmentation to 21,000 categories without mask labels for new categories.