Saliency and Detail Map Interactive Model for Salient Region Detection
Journal
2023 IEEE International Conference on Visual Communications and Image Processing, VCIP 2023
ISBN
9798350359855
Date Issued
2023-01-01
Author(s)
Abstract
Salient object detection (SOD) is a preprocessing step for several computer vision techniques, including visual tracking, image captioning, image segmentation, and so on. In this work, several techniques are adopted to improve the accuracy of SOD. Instead of directly using edge maps as guidance, we improve the adaptive two-stream encoder by employing a clever technique to generate body maps and detail maps, which can provide much information for the final predictions. Regarding body maps and detail maps, different parameter contrasts are provided for users to choose the desired results. Compared to state-of-The-Art SOD algorithms, our method outperforms almost all other methods on twelve datasets under two evaluation metrics.
Subjects
body map | detail map | edge map | salient object detection
Type
conference paper