We study the problem of object classification when training and test classes are disjoint, ie no training examples of the target classes are available. This setup has hardly been studied …
MJ Huiskes, B Thomee, MS Lew - Proceedings of the international …, 2010 - dl.acm.org
The MIR Flickr collection consists of 25000 high-quality photographic images of thousands of Flickr users, made available under the Creative Commons license. The database includes …
With the explosive growth of web videos on the Internet, it becomes challenging to efficiently browse hundreds or even thousands of videos. When searching an event query, users are …
W Hao, R Bie, J Guo, X Meng, S Wang - Optik, 2018 - Elsevier
Image recognition has plateaued in the last few years. According to this research field, some complicated models typically combined feature extraction and classification models …
Kundenrezensionen im Internet spielen heutzutage eine wichtige Rolle bei unseren alltäglichen Kaufentscheidungen. Ebenso sind die unzähligen Produktbewertungen von …
Concept detection is targeted at automatically labeling video content with semantic concepts appearing in it, like objects, locations, or activities. While concept detectors have become …
H Lukashevich, S Nowak… - 2009 IEEE International …, 2009 - ieeexplore.ieee.org
Supervised learning requires adequately labeled training data. In this paper, we present an approach for automatic detection of outliers in image training sets using an one-class …
H Wu, Z Miao, Y Wang, M Lin - The Visual Computer, 2015 - Springer
In this paper, we present a new object recognition model with few instances based on semantic distance. Learning objects with many instances have been studied in computer …
S Zhu, CW Ngo, YG Jiang - IEEE Transactions on Multimedia, 2012 - ieeexplore.ieee.org
Sufficient training examples are essential for effective learning of semantic visual concepts. In practice, however, acquiring noise-free training examples has always been expensive …