Now showing items 1-2 of 2

    • Object Counting with Deep Learning 

      Aich, Shubhra (2019-07-04)
      This thesis explores various empirical aspects of deep learning or convolutional network based models for efficient object counting. First, we train moderately large convolutional networks on comparatively smaller datasets ...
    • Unsupervised Domain Adaptation for Object Counting 

      Ayalew, Tewodros Wondifraw (2021-01-27)
      Supervised learning is a common approach for counting objects in images, but for counting small, densely located objects, the required image annotations are burdensome to collect. Counting plant organs for image-based plant ...