Objects as Points: Faster, Simple Center-Based Detection for Real-Time
Imagine a camera that spots things by looking for their middle, not by drawing lots of boxes.
This method treats each object as a single center point and then predicts its size, where it sits in space, and how it's rotated.
Because it skips making many guesses first, the system is faster and uses less work behind the scenes.
The approach is also simpler, so it can run on normal machines and still be quick enough for live video.
Tests show it keeps up with more complex systems while being easier to run, giving results that are still very accurate.
That means phones, cameras, and robots could spot people and cars in real time without big slow downs.
It also works for 3D boxes and human pose, so its use is wide.
The idea may sound small — using a dot instead of a box — but it changes how detection thinks and makes fast, reliable vision more possible right now, on real devices that need real-time speed.
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Objects as Points
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