A Novel Saliency Detection Algorithm Based on Adversarial Learning Model

Volume: 29, Pages: 4489 - 4504
Published: Jan 1, 2020
Abstract
The traditional salient object detection models can be divided into several classes based on the low-level features of images and contrast between the pixels. This paper proposes an adversarial learning model (ALM) that includes the generative model and discriminative model. The ALM uses the original image as an input of the generative model to extract the high-level features and forms an initial salient map. Then, the discriminative model is...
Paper Details
Title
A Novel Saliency Detection Algorithm Based on Adversarial Learning Model
Published Date
Jan 1, 2020
Volume
29
Pages
4489 - 4504
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