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Article
Supervised biadjacency networks for stereo matching
Convolutional neural network (CNN) based stereo matching methods using cost volume techniques have gained prominence in stereo matching. State-of-the-art cost volume based methods use two weight-sharing featur...
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Article
Spatial attention-guided deformable fusion network for salient object detection
Most of salient object detection methods employ U-shape architecture as the understructure. Although promising performance has been achieved, they struggle to detect salient objects with non-rigid shapes and a...
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Article
Learning intensity and detail map** parameters for dehazing
State-of-the-art methods for removing haze from a single image rely on a haze image formation model and the inversion problem is solved by estimating medium transmission and global atmospheric light. In this p...