117017

: The paper utilizes an adversarial framework—essentially two neural networks competing against each other—to refine the data representations until they are as accurate as possible across different modes.

: Narrow your focus (e.g., instead of "AI," choose "Cross-modal hashing"). 117017

: Developing methods like IBKCH that can learn these relationships without needing millions of human-labeled examples. : Focus on clarity and neutral information rather

: Focus on clarity and neutral information rather than opinion. Key Breakthroughs of Article 117017 The research addresses

: Use academic databases like ScienceDirect or NCBI .

Published in the journal Signal Processing: Image Communication (Volume 117, 2023), this article presents a specialized method for improving how computers retrieve and organize data across different types of media—specifically searching for images using text or vice-versa. Key Breakthroughs of Article 117017

The research addresses the "cross-modal retrieval" challenge: how to bridge the gap between different data formats (like a written description and a visual photograph) so they can be compared efficiently.