Budget-aware Semi-Supervised Semantic and Instance Segmentation

14 May 2019Miriam BellverAmaia SalvadorJordi TorresXavier Giro-i-Nieto

Methods that move towards less supervised scenarios are key for image segmentation, as dense labels demand significant human intervention. Generally, the annotation burden is mitigated by labeling datasets with weaker forms of supervision, e.g. image-level labels or bounding boxes... (read more)

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