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    Self-Supervised Domain Adaptation Frameworks for Computer Vision Tasks 

    Kundu, Jogendra Nath
    There is a strong incentive to build intelligent machines that can understand and adapt to changes in the visual world without human supervision. While humans and animals learn to perceive the world on their own, almost ...

    Learning to Perceive Humans From Appearance and Pose 

    Seth, Siddharth
    Analyzing humans and their activities takes a central role in computer vision. This requires machine learning models to encapsulate both the diverse poses and appearances exhibited by humans. Estimating the 3D poses of ...

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    AuthorKundu, Jogendra Nath (1)Seth, Siddharth (1)Subject
    3D Human Pose Estimation (2)
    Computer Vision (2)Convolutional Neural Network (2)Deep Learning (2)
    Self-Supervised Learning (2)
    AdaDepth (1)Computer Science (1)Dense Vision Tasks (1)Domain Adaptation (1)Person Re-identification (1)... View MoreHas File(s)Yes (2)

    etd@IISc is a joint service of SERC & J R D Tata Memorial (JRDTML) Library || Powered by DSpace software || DuraSpace
    Contact Us | Send Feedback | Thesis Templates
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