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    Chapter and Conference Paper

    Rethinking Few-Shot Image Classification: A Good Embedding is All You Need?

    The focus of recent meta-learning research has been on the development of learning algorithms that can quickly adapt to test time tasks with limited data and low computational cost. Few-shot learning is widely...

    Yonglong Tian, Yue Wang, Dilip Krishnan, Joshua B. Tenenbaum in Computer Vision – ECCV 2020 (2020)

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    Chapter and Conference Paper

    Contrastive Multiview Coding

    Humans view the world through many sensory channels, e.g., the long-wavelength light channel, viewed by the left eye, or the high-frequency vibrations channel, heard by the right ear. Each view is noisy and in...

    Yonglong Tian, Dilip Krishnan, Phillip Isola in Computer Vision – ECCV 2020 (2020)

  3. Chapter and Conference Paper

    Crisp Boundary Detection Using Pointwise Mutual Information

    Detecting boundaries between semantically meaningful objects in visual scenes is an important component of many vision algorithms. In this paper, we propose a novel method for detecting such boundaries based o...

    Phillip Isola, Daniel Zoran, Dilip Krishnan in Computer Vision – ECCV 2014 (2014)