Filter-Based Mean-Field Inference for Random Fields with Higher-Order Terms and Product Label-Spaces
作者： Vibhav Vineet , Jonathan Warrell , Philip H. S. Torr
DOI: 10.1007/978-3-642-33715-4_3
关键词: Random field 、 Mathematics 、 Artificial intelligence 、 Object (computer science) 、 Algorithm 、 Segmentation 、 Bilateral filter 、 Optical flow 、 Inference 、 Computer vision 、 Filter (signal processing) 、 Pairwise comparison
摘要: … Thus, estimating a good starting point is critical to the mean-field methods. Here, we show how SIFT-flow based label transfer method can be used in providing a good starting point …
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