8 citations · 10 across the 3 of their papers we have counts for
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cs.CV2024★ 1 cited
Segment Anything Model for Road Network Graph Extraction
Congrui Hetang, Haoru Xue, Cindy Le +3
We propose SAM-Road, an adaptation of the Segment Anything Model (SAM) for extracting large-scale, vectorized road network graphs from satellite imagery. To predict graph geometry,…
cs.CV2019★ 8 cited
Depth-wise Decomposition for Accelerating Separable Convolutions in Efficient Convolutional Neural Networks
Yihui He, Jianing Qian, Jianren Wang +5
Very deep convolutional neural networks (CNNs) have been firmly established as the primary methods for many computer vision tasks. However, most state-of-the-art CNNs are large, wh…