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Yong-Qiang Tan

2 accepted papers

2020

Highly Efficient Salient Object Detection with 100K Parameters

ECCV 2020poster

Salient object detection models often demand a considerable amount of computation cost to make precise prediction for each pixel, making them hardly applicable on low-power devices. In this paper, we aim to relieve the contradiction between computation cost and model performance by improving the net…

2020

VecRoad: Point-Based Iterative Graph Exploration for Road Graphs Extraction

CVPR 2020poster

Extracting road graphs from aerial images automatically is more efficient and costs less than from field acquisition. This can be done by a post-processing step that vectorizes road segmentation predicted by CNN, but imperfect predictions will result in road graphs with low connectivity. On the othe…

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