Zero-Shot Semantic Segmentation

Semantic segmentation models are limited in their ability to scale to large numbers of object classes. In this paper, we introduce the new task of zero-shot semantic segmentation: learning pixel-wise classifiers for never-seen object categories with zero training examples... (read more)

PDF Abstract NeurIPS 2019 PDF NeurIPS 2019 Abstract

Datasets


Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Zero-Shot Learning PASCAL Context ZS3Net k=10 mIOU 26.3 # 1

Methods used in the Paper


METHOD TYPE
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