New algorithm unlocks high-resolution insights for computer vision

Imagine yourself glancing at a busy street for a few moments, then trying to sketch the scene you saw from memory. Most people could draw the rough positions of the major objects like cars, people, and crosswalks, but almost no one can draw every detail with pixel-perfect accuracy. The same is true for most modern computer vision algorithms: They are fantastic at capturing high-level details of a scene, but they lose fine-grained details as they process information.

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alt="FeatUp is an algorithm that upgrades the resolution of deep networks for improved performance in computer vision tasks such as object recognition, scene parsing, and depth measurement (Credits: Mark Hamilton and Alex Shipps/MIT CSAIL, top image via Unsplash)."
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