Transferable Curriculum for Weakly-Supervised Domain Adaptation
نویسندگان
چکیده
منابع مشابه
Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation
Can we detect common objects in a variety of image domains without instance-level annotations? In this paper, we present a framework for a novel task, cross-domain weakly supervised object detection, which addresses this question. For this paper, we have access to images with instance-level annotations in a source domain (e.g., natural image) and images with image-level annotations in a target ...
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In this supplementary material, we present three additional results to complement the paper. First, we report detailed quantitative evaluation on the PASCAL VOC and ILSVRC object detection datasets. Second, we show additional qualitative detection results on the VOC 2007 dataset. Third, we analyze the errors of three variants of the proposed approach and show relative contributions from each co...
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ژورنال
عنوان ژورنال: Proceedings of the AAAI Conference on Artificial Intelligence
سال: 2019
ISSN: 2374-3468,2159-5399
DOI: 10.1609/aaai.v33i01.33014951