Persons at STU
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Basic information about a final thesis
Type of thesis:
Object recognition using convolutional neural networks
|Written by (author):|
|Department:||Institute of Computer Engineering and Applied Informatics (FIIT)|
Final thesis progress:
Final thesis was successfully defended.
Additional informationAdditional information about the final thesis follows. Click on the language link to display the information in the desired language.
Language of final thesis:
|Title of the thesis:||Object recognition using convolutional neural networks|
|Summary:||Object detection is one of the main tasks in the computer vision field. Object detection has high potential and numerous applications in industry, augmented reality, security systems and robotics field. With the recent advent of machine learning and deep convolutional networks, the new methods for image segmentation and object detection became available. However, despite their huge success in computer vision, there are still many problems, the neural networks are suffering from, which makes them impractical and less usable. This thesis is focused on analyzing existing methods in deep convolutional neural networks for object recognition in effort to combine these different methods to design and create custom prototype model, to possibly achieve better results with one of the common public datasets.|
Object recognition, convolutional neural networks, local feature descriptor
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Final thesis (final thesis appendices) unlimited
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