Invention Publication
- Patent Title: MODULARIZED ATTENTIVE GRAPH NETWORKS FOR FINE-GRAINED REFERRING EXPRESSION COMPREHENSION
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Application No.: US17936097Application Date: 2022-09-28
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Publication No.: US20240111950A1Publication Date: 2024-04-04
- Inventor: Zhenfang Chen , Chuang Gan , Bo Wu , Dakuo Wang
- Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Applicant Address: US NY ARMONK
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY ARMONK
- Main IPC: G06F40/205
- IPC: G06F40/205 ; G06N3/04 ; G06T7/12

Abstract:
A computer-implemented method for fine-grained referring expression comprehension is provided. The computer-implemented method includes receiving, at a processor, a textual expression and an image as inputs and executing, at the processor, fine-grained referring expression comprehension. The executing includes decomposing the textual expression into different textual modules, extracting visual regional proposals from the image, using language-guided graph neural networks to mine fine-grained object relations from the visual regional proposals and aggregating different matching similarities between the different textual modules and the fine-grained object relations.
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