Visual memory in autonomous agents
AssigneeSoul Machines Limited
InventorsJosephine Jefferson, Mark Sagar, Nathan Pages, Jonathan Conder, Alireza Nejati
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AssigneeSoul Machines Limited
InventorsJosephine Jefferson, Mark Sagar, Nathan Pages, Jonathan Conder, Alireza Nejati
Estimating the term…
Embodiments described herein provide a method for autonomous agents (which may be situated, embodied agents) to learn new visual objects, and recognize the same objects within the same “runtime”/session/interaction, and be able to train a longer-term visual memory model on the object. A visual memory system stores templates of objects and compares images to these templates. An internal or external (to the agent) signal may determine which object/s to compare. The visual memory system stores new and unrecognized objects as “templates” and returns whether or not any region of the image is likely to contain a match for any of the stored templates. There is thus provided one-shot visual learning.
A computer-implemented method for training a trainable object detector from a visual stream, comprising:
A computer-implemented method for object detection, comprising:
(canceled)
A computer-readable medium comprising instructions which, when executed by a computer, cause the computer to:
A computer-readable medium comprising instructions which, when executed by a computer, cause the computer to:
Dependencies are inferred from the claim text.