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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...
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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...
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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...