# RAID: A Relation-Augmented Image Descriptor

Source: [RAID: A Relation-Augmented Image Descriptor](<https://www.sota2.com/research/paper/68fa62171e209131ce9f7799>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-25T20:12:29.814Z

Authors: Paul Guerrero, Niloy J. Mitra, Peter Wonka

Published: 2015-10-05T11:58:12.000Z

## Abstract

As humans, we regularly interpret images based on the relations between image regions. For example, a person riding object X, or a plank bridging two objects. Current methods provide limited support to search for images based on such relations. We present RAID, a relation-augmented image descriptor that supports queries based on inter-region relations. The key idea of our descriptor is to capture the spatial distribution of simple point-to-region relationships to describe more complex relationships between two image regions. We evaluate the proposed descriptor by querying into a large subset of the Microsoft COCO database and successfully extract nontrivial images demonstrating complex inter-region relations, which are easily missed or erroneously classified by existing methods.

## Recorded benchmark results

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## Original sources and implementation

[Original paper](<https://arxiv.org/abs/1510.01113>)

[PDF](<https://arxiv.org/pdf/1510.01113.pdf>)