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Showing 1 to 4 of 4 for “"Object Detection, Image Segmentation"”.

  1. Ballast condition and degradation evaluation using computer vision techniques: Algorithms and applications

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-09-16 without embargo terms

    uiuc Repository record for Ballast condition and degradation evaluation using computer vision techniques: Algorithms and applications (opens in a new tab)

  2. Ballast condition and degradation evaluation using computer vision techniques: Algorithms and applications

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-09-16 without embargo terms

    uiuc Repository record for Ballast condition and degradation evaluation using computer vision techniques: Algorithms and applications (opens in a new tab)

  3. A Machine Learning Approach to Recognize Environmental Features Associated with Social Factors

    … features from Google Street View (GSV) images. The five environmental features are garbage bags, greenery, and three distinct road damage types (longitudinal, transverse, and alligator cracks), which were identified using image classification, object detection, and image segmentation. We …

    vt Repository record for A Machine Learning Approach to Recognize Environmental Features Associated with Social Factors (opens in a new tab)

  4. Segment and Cut: A Simpler Method for Extracting Bounding-Boxes for Object Detection

    Object detectors that are based on bounding-box regression are complex and require a lot of refinement to get good results. Is there a simpler way of doing object detection? To that end, I present a new method for object detection where you first segment an image, and then cut each object from the …

    houston Repository record for Segment and Cut: A Simpler Method for Extracting Bounding-Boxes for Object Detection (opens in a new tab)