AIS412 Lecture 15: Self Supervised Learning
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Questions and Answers

What is the main motivation for self-supervised learning?

  • To reduce the expense of producing a new dataset for each new task (correct)
  • To increase the number of labeled images in the dataset
  • To decrease the reliance on neural network architectures
  • To simplify the process of training a neural network

What is one area that is mentioned as being 'supervision-starved'?

  • Educational data
  • Medical data (correct)
  • Social media data
  • Financial data

What can strong supervision enable features to be used for in visual tasks?

  • Speech recognition
  • Social media analysis
  • Natural language processing
  • Object detection and segmentation (correct)

What are the potential advantages of self-supervised learning in relation to unlabelled images/videos?

<p>It can tap into the enormous availability of unlabelled images/videos (B)</p> Signup and view all the answers

What is the approach suggested to solve any visual task to some extent?

<p>Construct a large-scale dataset labelled for that task (A)</p> Signup and view all the answers

What is self-supervision in the context of unsupervised learning?

<p>Withholding some part of the data and asking the network to predict it (B)</p> Signup and view all the answers

In the context of self-supervised learning, what is exemplar networks?

<p>A specific type of network introduced by Dosovitskiy et al. in 2014 (D)</p> Signup and view all the answers

What is one of the examples given for self-supervised learning from images?

<p>Relatively positioning two regions in the same image (D)</p> Signup and view all the answers

How is self-supervision evaluated in the context of PASCAL VOC Detection?

<p>By pre-training CNN using self-supervision without labels (D)</p> Signup and view all the answers

What is the key characteristic of self-supervised learning to avoid trivial shortcuts?

<p>Including a gap while jittering patch locations (C)</p> Signup and view all the answers

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