Learning Pixel-level segmantic affinity with image-level supervision for weakly supervised segmentat

时间 2020-12-20

标签 semantic segmentation 繁體版

原文原文链接

Abstract. 缺少分割的label是阻碍语义分割发展的一个主要因素，为了缓解这个问题，我们提出了一个新的框架结构通过class label去产生segmentation label.在这个弱监督里，被训练的models会去分割local discriminative parts而不会分割整个区域。作者的解决办法是将local responses传播到附近的相同语义的区域。我们提出了一个Dee

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1. Learning-Pixel-level-Semantic-Affinity-with-Image-level-Supervision
2. Thinking in Weakly Supervised Learning
3. Deep Self-Taught Learning for Weakly Supervised Object Localization
4. 《Adversarial learning for weakly-supervised social network alignment》翻译
5. Two-Phase Learning for Weakly Supervised Object Localization
6. 《Deep Self-Taught Learning for Weakly Supervised Object Localization》
7. [CVPR2015] Is object localization for free? – Weakly-supervised learning with convolutional neural n...
8. [CVPR2015] Is object localization for free? – Weakly-supervised learning with convolutional neural n
9. 17-WILDCAT-Weakly-Supervised-Learning-of-DeepConvNets
10. Weakly Supervised Classification: Towards Accurate Machine Learning with Low Labeling Costs

>>更多相关文章<<