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Showing 1 to 4 of 4 for “"Coco Dataset"”.

  1. A study on the effect of target object size in object detection

    … the target object. The set up requires a custom dataset, containing object instances that are identifiable by the selected models, each with an object instance at a varying distance. The COCO dataset was selected as the training and benchmarking dataset in this experiment. Following the selection …

    malta Repository record for A study on the effect of target object size in object detection (opens in a new tab)

  2. Uncertainty Estimation for Single Stage Object Detection

    … on simplified toy problems and lower-dimensional datasets. To address this gap, this thesis implements and evaluates Deep Ensembles and Monte Carlo Dropout within the state-of-the-art YOLOv8 architecture, assessing their ability to capture aleatoric and epistemic uncertainty across a …

    heid-thes Repository record for Uncertainty Estimation for Single Stage Object Detection (opens in a new tab)

  3. Using Siamese neural networks to identify individual animals

    … Network (FPN) that has been trained on the MS Coco dataset [Lin et al., 2014] is used with v Abstract vi transfer learning. Finally, a Siamese Neural Network (SNN) is used to measure the similarity between the objects in each pair of images, which answers (2). A SNN is a pair of identical …

    cape-town Repository record for Using Siamese neural networks to identify individual animals (opens in a new tab)

  4. Enhancing multi-label object recognition in complex images via region-based continual learning

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-20 without embargo terms

    uiuc Repository record for Enhancing multi-label object recognition in complex images via region-based continual learning (opens in a new tab)