Knowledge Integration Networks for Action Recognition
نویسندگان
چکیده
منابع مشابه
Integration of Color Features and Artificial Neural Networks for In-field Recognition of Saffron Flower
ABSTRACT-Manual harvesting of saffron as a laborious and exhausting job; it not only raises production costs, but also reduces the quality due to contaminations. Saffron quality could be enhanced if automated harvesting is substituted. As the main step towards designing a saffron harvester robot, an appropriate algorithm was developed in this study based on image processing techniques to recogn...
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متن کاملintegration of color features and artificial neural networks for in-field recognition of saffron flower
abstract-manual harvesting of saffron as a laborious and exhausting job; it not only raises production costs, but also reduces the quality due to contaminations. saffron quality could be enhanced if automated harvesting is substituted. as the main step towards designing a saffron harvester robot, an appropriate algorithm was developed in this study based on image processing techniques to recogn...
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The paper describes an algorithm based on AI techniques for recognizing words of printed or hand-written text--with the technique developed also applicable to correcting substitution spelling errors. The algorithm effectively integrates bottom-up information in the form of letter shapes, letter transitional probabilities and letter classification-error probabilities together with top-down knowl...
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Two-stream Convolutional Networks (ConvNets) have shown strong performance for human action recognition in videos. Recently, Residual Networks (ResNets) have arisen as a new technique to train extremely deep architectures. In this paper, we introduce spatiotemporal ResNets as a combination of these two approaches. Our novel architecture generalizes ResNets for the spatiotemporal domain by intro...
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ژورنال
عنوان ژورنال: Proceedings of the AAAI Conference on Artificial Intelligence
سال: 2020
ISSN: 2374-3468,2159-5399
DOI: 10.1609/aaai.v34i07.6983