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Paperium
Paperium

Posted on • Originally published at paperium.net

Conan: Progressive Learning to Reason Like a Detective over Multi-Scale VisualEvidence

Conan learns to solve video puzzles like a detective

Think of a system that watches a clip and picks out the tiny clues, then puts them together to answer a hard question.
That is Conan, it finds the moments that matter, checks clues across frames, and then decides if more searching is needed or time to answer.
Conan is built with lots of examples so it can learn what counts as real evidence and what is just noise.
The result is clearer, step-by-step reasoning over videos, not guesses that drift away from what you actually see.
In tests Conan raised correct answers a lot, showing much better accuracy than older systems, and it keeps working even when videos are long or messy.
This means apps that need smart video understanding — from help with tasks to spotting key moments — can trust what they get.
It looks and thinks more like a human detective, but faster; sometimes it will keep hunting for clues, sometimes it will stop when it's sure, and sometimes it will change its mind, just like a real person.

Read article comprehensive review in Paperium.net:
Conan: Progressive Learning to Reason Like a Detective over Multi-Scale VisualEvidence

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