Efficient Local Image Descriptors Learned With Autoencoders

IEEE Access(2022)

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摘要
Local image descriptors play a crucial role in many image processing tasks, such as object tracking, object recognition, panorama stitching, and image retrieval. In this paper, we focus on learning local image descriptors in an unsupervised way, using autoencoders and variational autoencoders. We perform a thorough comparative analysis of these two approaches along with an in-depth analysis of the...
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关键词
Task analysis,Computer architecture,Benchmark testing,Training,Deep learning,Object tracking,Neural networks
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