Self-supervised vision скачать в хорошем качестве

Self-supervised vision

An overview of the use of self-supervised learning in Computer Vision. Timestamps: 00:00 - Self-supervised vision 00:29 - Self-supervised learning - motivation 01:39 - Self-supervised learning - motivation (cont.) 04:11 - Self-supervised learning - creating your own supervision 05:38 - Self-supervised learning - creating your own supervision (cont.) 06:32 - Self-supervised learning - creating your own supervision (cont. cont.) 07:36 - Self-supervised learning - context as supervision 09:09 - Back to vision: context as supervision 11:39 - Pretext task: inpainting 13:30 - Pretext task: jigsaw puzzles 14:32 - Pretext task: colourisation 16:00 - What's wrong with L2? 17:29 - Pretext task: counting 19:53 - Grouping/Common fate 20:36 - Pretext task: Grouping/Common fate 22:06 - Pretext task: Rotations 23:28 - Pretext task: Clustering 25:00 - Contrastive Learning 26:47 - Masked Autoencoders Topics: #computervision #ai #introduction Notes: This lecture was given as part of the 2022/2023 4F12 course at the University of Cambridge. It is an update to a previous lecture, which can be found here:    • Self-supervised learning and pseudo-labelling   Links: Slides (pdf): https://samuelalbanie.com/files/diges... References for papers mentioned in the video can be found at http://samuelalbanie.com/digests/2023... For related content: Twitter:   / samuelalbanie   personal webpage: https://samuelalbanie.com/ YouTube:    / @samuelalbanie1