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Found 6 papers, 1 papers with code
Bi-Skip: A Motion Deblurring Network Using Self-paced Learning
A fast and effective motion deblurring method has great application values in real life.
Exploiting the Value of the Center-dark Channel Prior for Salient Object Detection
In this paper, we propose a novel salient object detection algorithm for RGB-D images using center-dark channel priors.
A multilayer backpropagation saliency detection algorithm and its applications
In this paper, we propose a multilayer backpropagation saliency detection algorithm based on depth mining by which we exploit depth cue from three different layers of images.
PDNet: Prior-model Guided Depth-enhanced Network for Salient Object Detection
One is the lack of tremendous amount of annotated data to train a network.
Robust Saliency Detection via Fusing Foreground and Background Priors
Automatic Salient object detection has received tremendous attention from research community and has been an increasingly important tool in many computer vision tasks.
Automatic Salient Object Detection for Panoramic Images Using Region Growing and Fixation Prediction Model
In this paper, we propose a novel bottom-up salient object detection framework for panoramic images.
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