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– Challenges of supervised learning and how self supervised learning differs from supervised and unsupervised, with examples in NLP and Relative positions for vision
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Classroom Contents
Self-Supervised Learning in Computer Vision
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- 1 – Week 10 – Lecture
- 2 – Challenges of supervised learning and how self supervised learning differs from supervised and unsupervised, with examples in NLP and Relative positions for vision
- 3 – Examples of pretext tasks in images, videos and videos with sound
- 4 – Understanding what the "pretext" task learns
- 5 – Generalization of pretext task and ClusterFit
- 6 – Basic idea of PIRL
- 7 – Evaluating PIRL on different tasks and questions
