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In this video, I cover DetCon: Efficient Visual Pretraining with Contrastive Detection - a novel self-supervised method that achieves SOTA results on various transfer learning tasks.
The main idea is to add the semantic segmentation information into the contrastive objective (they used various heuristics to obtain semantic segmentation information in an unsupervised fashion).
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✅ Paper: https://arxiv.org/abs/2103.10957
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⌚️ Timetable:
00:00 News: Discord and AI newsletter!
01:24 Self-supervised learning, BYOL, and SimCLR
03:50 DetCon method overview
11:35 Semantic segmentation heuristics
12:45 Overview of BYOL and SimCLR
20:15 Results
24:10 Impact of segmentation heuristics
27:20 Outro
28:10 Turn on the notification bell, much love!
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TODO:
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#detcon #selfsupervised #contrastive