# Context aware saliency map generation using semantic segmentation

Source: [Context aware saliency map generation using semantic segmentation](<https://www.sota2.com/research/paper/68fa63ea1e209131cea0169f>)

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

Data updated: 2025-10-25T20:52:10.607Z

Authors: Mahdi Ahmadi, Mohsen Hajabdollahi, Nader Karimi, Shadrokh Samavi

Published: 2017-12-31T08:55:17.000Z

## Abstract

Saliency map detection, as a method for detecting important regions of an image, is used in many applications such as image classification and recognition. We propose that context detection could have an essential role in image saliency detection. This requires extraction of high level features. In this paper a saliency map is proposed, based on image context detection using semantic segmentation as a high level feature. Saliency map from semantic information is fused with color and contrast based saliency maps. The final saliency map is then generated. Simulation results for Pascal-voc11 image dataset show 99% accuracy in context detection. Also final saliency map produced by our proposed method shows acceptable results in detecting salient points.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/1801.00256>)

[PDF](<https://arxiv.org/pdf/1801.00256.pdf>)