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Found 3 papers, 2 papers with code
Learning Deformable Hypothesis Sampling for Accurate PatchMatch Multi-View Stereo
This paper introduces a learnable Deformable Hypothesis Sampler (DeformSampler) to address the challenging issue of noisy depth estimation for accurate PatchMatch Multi-View Stereo (MVS).
Shape Anchor Guided Holistic Indoor Scene Understanding
This paper proposes a shape anchor guided learning strategy (AncLearn) for robust holistic indoor scene understanding.
ELKPPNet: An Edge-aware Neural Network with Large Kernel Pyramid Pooling for Learning Discriminative Features in Semantic Segmentation
In this paper, a practical and efficient edge-aware neural network is presented for semantic segmentation.
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