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Found 4 papers, 1 papers with code
Multi-Level Context Ultra-Aggregation for Stereo Matching
We also evaluate our method on Scene Flow and KITTI 2012/2015 stereo datasets.
DNA: Deeply-supervised Nonlinear Aggregation for Salient Object Detection
Recent progress on salient object detection mainly aims at exploiting how to effectively integrate multi-scale convolutional features in convolutional neural networks (CNNs).
Exploring Stereovision-Based 3-D Scene Reconstruction for Augmented Reality
Three-dimensional (3-D) scene reconstruction is one of the key techniques in Augmented Reality (AR), which is related to the integration of image processing and display systems of complex information.
Salient Object Detection via High-to-Low Hierarchical Context Aggregation
In this paper, we observe that the contexts of a natural image can be well expressed by a high-to-low self-learning of side-output convolutional features.
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