Robust fine‐grained visual recognition with images based on internet of things
Zhenhuang Cai,
Shuai Yan,
Dan Huang
Abstract:Labeling fine‐grained objects manually is extremely challenging, as it is not only label‐intensive but also requires professional knowledge. Accordingly, robust learning methods for fine‐grained recognition with web images collected from Internet of Things have drawn significant attention. However, training deep fine‐grained models directly using untrusted web images is confronted by two primary obstacles: (1) label noise in web images and (2) domain variance between the online sources and test datasets. To th… Show more
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