Rok 2017

• Clothes Detection and Classification Using Convolutional Neural Networks

  Publikacja

  • J. Cychnerski
  • A. Brzeski
  • A. Boguszewski
  • M. Marmołowski
  • M. Trojanowicz

  - Rok 2017

  In this paper we describe development of a computer vision system for accurate detection and classification of clothes for e-commerce images. We present a set of experiments on well established architectures of convolutional neural networks, including Residual networks, SqueezeNet and Single Shot MultiBox Detector (SSD). The clothes detection network was trained and tested on DeepFashion dataset, which contains box annotations...

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Rok 2016

• Towards increasing F-measure of approximate string matching in O(1) complexity

  Publikacja

  • A. Boguszewski
  • J. Szymański
  • K. Draszawka

  - Rok 2016

  The paper analyzes existing approaches for approximate string matching based on linear search with Levenshtein distance, AllScan and CPMerge algorithms using cosine, Jaccard and Dice distance measures. The methods are presented and compared to our approach that improves indexing time using Locally Sensitive Hashing. Advantages and drawbacks of the methods are identified based on theoretical considerations as well as empirical evaluations...

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