Enhance Visual Recognition Under Adverse Conditions via Deep Networks
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DOI: 10.1109/tip.2019.2908802
Abstract: Visual recognition under adverse conditions is a very important and challenging problem of high practical value, due to the ubiquitous existence of quality distortions during image acquisition, transmission, or storage. While deep neural networks have… read more here.
Keywords: recognition adverse; adverse conditions; visual recognition; image ... See more keywords