Weakly Supervised Adversarial Domain Adaptation for Semantic Segmentation in Urban Scenes
نویسندگان
چکیده
منابع مشابه
Semi and Weakly Supervised Semantic Segmentation Using Generative Adversarial Network
Semantic segmentation has been a long standing challenging task in computer vision. It aims at assigning a label to each image pixel and needs significant number of pixellevel annotated data, which is often unavailable. To address this lack, in this paper, we leverage, on one hand, massive amount of available unlabeled or weakly labeled data, and on the other hand, non-real images created throu...
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ژورنال
عنوان ژورنال: IEEE Transactions on Image Processing
سال: 2019
ISSN: 1057-7149,1941-0042
DOI: 10.1109/tip.2019.2910667