MUMBAI, India, Nov. 2 -- Intellectual Property India has published a patent application (202647125949 A) filed by Qualcomm Incorporated on October 22, 2026, for Personalized Open-Vocabulary Semantic Segmentation.
Inventors include Park, Sunghyun; Lee, Jungsoo; Borse, Shubhankar Mangesh; Hayat, Munawar; Hwang, Kyu Woong; Porikli, Fatih Murat; and Choi, Sungha.
The application for the patent was published on October 30, 2026, under issue no. 44/2026.
Abstract: Disclosed are systems and techniques for image processing. For example, a computing device can process, using an encoder, an image to generate a feature map representing the image. The computing device can use the encoder to determine, based on the feature map, mask embeddings, negative mask embeddings, textual embeddings, and textual prompts for semantic segmentation of the image. The computing device can use a semantic segmentation model to determine, based on the feature map, mask proposals and a negative mask for the image and to determine a similarity map between total mask embeddings (including the mask embeddings and the negative mask embeddings) and total textual embeddings (including the textual embeddings and the textual prompts). The computing device can determine, using the semantic segmentation model, final semantic predictions for the image based on the similarity map and total mask proposals (including the mask proposals and the negative mask).
Disclaimer: Curated by HT Syndication.
