Unsupervised Semantic-Based Aggregation of Deep Convolutional Features
نویسندگان
چکیده
منابع مشابه
Unsupervised Semantic-based Aggregation of Deep Convolutional Features
In this paper, we propose a simple but effective semantic-based aggregation (SBA) method. The proposed SBA utilizes the discriminative filters of deep convolutional layers as semantic detectors. Moreover, we propose the effective unsupervised strategy to select some semantic detectors to generate the “probabilistic proposals”, which highlight certain discriminative pattern of objects and suppre...
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ژورنال
عنوان ژورنال: IEEE Transactions on Image Processing
سال: 2019
ISSN: 1057-7149,1941-0042
DOI: 10.1109/tip.2018.2867104