Showing 61 - 80 results of 983 for search '((regiment OR ((regiments OR segments) OR regimes)) OR regimens)', query time: 0.15s Refine Results
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    Continual semantic segmentation via image and latent space consistency by Wang, Zhichao

    Published 2022
    “…In this thesis, my continual-learning research process is introduced in detail, including a novel method and two regulators, which contribute to anti-forgetting Result in continual learning in the semantic segmentation area. Firstly a real-time semantic segmentation model called ERFnet is evaluated, then based on this network and Cityscapes dataset, a model-recall method is proposed which could significantly reduce the catastrophic forgetting which happens in the process of continual learning in the semantic segmentation area; inspired by mentors, 2 regulators are also conducted which were expected to further improve performance (one regulator is come up by mentors and another is by myself). …”
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    Thesis-Master by Coursework
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    Automatic knee segmentation from multi-contrast MR images by Zhang, Kunlei

    Published 2013
    “…Also, the proposed cartilage segmentation scheme can be applied to the segmentation of other joint structures. …”
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    Thesis
  7. 67

    The Japanese economy in crises : a time series segmentation study by Cheong, Siew Ann, Fornia, Robert Paulo, Lee, Gladys Hui Ting, Kok, Jun Liang, Yim, Woei Shyr, Xu, Danny Yuan, Zhang, Yiting

    Published 2013
    “…The authors performed a comprehensive time series segmentation study on the 36 Nikkei Japanese industry indices from 1 January 1996 to 11 June 2010. …”
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    Journal Article
  8. 68

    3D-aware instance segmentation and tracking in egocentric videos by Bhalgat, Y, Tschernezki, V, Laina, I, Henriques, JF, Vedaldi, A, Zisserman, A

    Published 2025
    “…Leveraging our tracked instance segmentations, we showcase downstream applications in 3D object reconstruction and amodal video object segmentation in these egocentric settings.…”
    Conference item
  9. 69

    Humanising GrabCut: learning to segment humans using the Kinect by Gulshan, V, Lempitsky, V, Zisserman, A

    Published 2012
    “…To this end we investigate learning to automatically segment humans from cluttered images (without depth information) given a bounding box. …”
    Conference item
  10. 70

    Placing objects in context via inpainting for out-of-distribution segmentation by De Jorge, P, Volpi, R, Dokania, PK, Torr, PHS, Rogez, G

    Published 2024
    “…When deploying a semantic segmentation model into the real world, it will inevitably encounter semantic classes that were not seen during training. …”
    Conference item
  11. 71

    Using multiple segmentations to discover objects and their extent in image collections by Russell, BC, Efros, AA, Sivic, J, Freeman, WT, Zisserman, A

    Published 2006
    “…Given a large dataset of images, we seek to automatically determine the visually similar object and scene classes together with their image segmentation. To achieve this we combine two ideas: (i) that a set of segmented objects can be partitioned into visual object classes using topic discovery models from statistical text analysis; and (ii) that visual object classes can be used to assess the accuracy of a segmentation. …”
    Conference item
  12. 72

    Segmentation of magnetic resonance images for assessing neonatal brain maturation by Wang, S

    Published 2016
    “…We also investigate atlas-based whole brain segmentation that generates the binary mask for the region of interest. …”
    Thesis
  13. 73

    DiffuSeg: domain-driven diffusion for medical image segmentation by Zhang, L, Wu, F, Bronik, K, Papiez, BW

    Published 2025
    “…Initially, we apply our method to the MNIST dataset and subsequently adapt it for use with medical image segmentation datasets, such as retinal fundus images for vessel segmentation and MRI images for heart segmentation. …”
    Journal article
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    Fostering motivation in TVET students: the role of learner-paced segments and computational thinking in digital video learning by Wan Nor Ashiqin Wan Ali, Wan Ahmad Jaafar Wan Yahaya, Syed Zulkarnain Syed Idrus, Mohd Noorul Fakhri Yaacob

    Published 2024
    “…This study aims to address this gap by examining how learner-paced predefined segments and CT algorithmic thinking can impact TVET students' perceived motivation. …”
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    Article
  17. 77

    Uncertainty Quantification in Deep Learning Models of G-Computation for Outcome Prediction under Dynamic Treatment Regimes by Deng, Leon

    Published 2024
    “…G-Net is a neural network framework that implements g-computation, a causal inference method for making counterfactual predictions and estimating treatment effects under dynamic and time-varying treatment regimes. Two G-Net models have been successfully implemented: one that uses recurrent neural networks (RNNs) as its predictors, and one that uses transformer encoders (G-Transformer). …”
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    Thesis
  18. 78

    The low overpotential regime of acidic water oxidation part II: trends in metal and oxygen stability numbers by Scott, Soren B., Sørensen, Jakob E., Rao, Reshma R., Moon, Choongman, Kibsgaard, Jakob, Shao-Horn, Yang, Chorkendorff, Ib

    Published 2024
    “…In this work, we investigate the stability of both the metal atoms and, by quantitative and highly sensitive 18O isotope labelling experiments, the oxygen atoms in a series of RuOx and IrOx electrocatalysts during the OER in the mechanistically interesting low overpotential regime. We show that materials based on RuOx have a higher dissolution rate than the rate of incorporation of labelled oxygen from the catalyst into the O2 evolved (“labelled OER”), while for IrOx-based catalysts the two rates are comparable. …”
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    Article
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    The infinite jest: Heri Dono's Punakawan and their metamorphosis throughout Indonesia's new order regime and reformasi era by Syakirah Aqilah Binte Sanusi

    Published 2024
    “…Ultimately, he privileges the metamorphosis of his punakawan to instil and embody the hopeful empowerment that the Indonesian public fought for in the late 1990s, from the New Order regime until the Reformasi era.…”
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    Final Year Project (FYP)