LANGUAGE-BASED OBJECT DETECTION AND DATA AUGMENTATION FOR SELF-DRIVING VEHICLE OPERATION
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United States of America
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Issued Date -
Apr 10, 2025
app pub date -
Oct 2, 2024
filing date -
Oct 2, 2024
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Abstract
Methods and systems for object detection include generating a negative description for an input image of a road scene, based on a positive description of the input image, using a language model. A negative image is generated based on the input image and the negative description by replacing a portion of the input image that is described by the positive description with content that is described by the negative description using a generative image model. An object detection model is trained with the input image, the positive description, the negative description, and the negative image. An object is identified within a driving scene using the trained object detection model. A driving action is performed in a self-driving vehicle responsive to the identified object.
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