Image processing method, apparatus, device, and medium
By combining the generated object feature vectors and category encoding vectors, the problem of insufficient recognition of diverse objects in existing image segmentation models is solved, achieving higher accuracy and flexibility.
Patent Information
- Application Number
- CN202510894579.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-03-17
- Publication Date
- 2026-08-25
- Estimated Expiration
- 2043-03-17
AI Technical Summary
Existing image segmentation models can only segment objects that have learned corresponding image features, resulting in low accuracy in object segmentation and an inability to effectively identify diverse image objects.
By acquiring the image feature vector and object query vector of the target image, an object feature vector is generated. Combined with the category encoding vector of the object category set, the object category to which the target object belongs is determined, thus achieving decoupled recognition of object location and category.
It improves the accuracy and flexibility of object segmentation in images, enabling the identification of multiple object categories and enhancing the robustness and usability of image segmentation models.