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AIS412 Lecture 15: Self Supervised Learning

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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?

It can tap into the enormous availability of unlabelled images/videos Signup and view all the answers

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

Construct a large-scale dataset labelled for that task Signup and view all the answers

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

Withholding some part of the data and asking the network to predict it Signup and view all the answers

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

A specific type of network introduced by Dosovitskiy et al. in 2014 Signup and view all the answers

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

Relatively positioning two regions in the same image Signup and view all the answers

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

By pre-training CNN using self-supervision without labels Signup and view all the answers

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

Including a gap while jittering patch locations Signup and view all the answers