Self-Supervised Learning
Internet Explorer
Introduced by Li et al. in Internet Explorer: Targeted Representation Learning on the Open WebInternet Explorer explores the web in a self-supervised manner to progressively find relevant examples that improve performance on a desired target dataset. It cycles between searching for images on the Internet with text queries, self-supervised training on downloaded images, determining which images were useful, and prioritizing what to search for next.
Source: Internet Explorer: Targeted Representation Learning on the Open WebPapers
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Usage Over Time
Components
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| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
