Dynamische Anpassung zur Objekterkennung

Details

Veröffentlichungs-Nr.

EP4814887

Anmeldetag

20. März 2026

Veröffentlichung

30. September 2026

Rechtsraum

EP

Abstract

Systems and methods for dynamic customization for object detection. An object detector uses an object detection model (e.g., an open vocabulary model) to detect and classify objects. The object detector supports customization of classifications without requiring the model to be retrained. Embeddings are used to differentiate between various states of detections, enhancing accuracy and relevance of the detection process. In examples, the object detector handles logical conditions by creating a classifier trained to differentiate between various combinations of objects. Aspects of the present disclosure support the use of images for customization, allowing users to provide examples from which the object detector described herein can learn. In further examples, capabilities of the object detector extend to processing live video streams, where users can mark examples in real-time. In some examples, the object detector leverages a generative model (e.g., to provide state contrasts), allowing the system to be adaptable to complex conditions.

Anmelder

Firma

Microsoft Technology Licensing, LLC

Land

🇺🇸 USA