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20192026
most citedDLA-Net: Learning Dual Local Attention Features for Semantic Segmentation of Large-Scale Building Facade Point Clouds

7 citations · 15 across the 5 of their papers we have counts for

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cs.CV2019★ 6 cited

RF-Net: An End-to-End Image Matching Network based on Receptive Field

Xuelun Shen, Cheng Wang, Xin Li +5

This paper proposes a new end-to-end trainable matching network based on receptive field, RF-Net, to compute sparse correspondence between images. Building end-to-end trainable mat…