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- W4224247055 abstract "In recent years, supervised learning has been widely used in various tasks of optical remote sensing image understanding, including remote sensing image classification, pixel-wise segmentation, change detection, and object detection. The methods based on supervised learning need a large amount of high-quality training data and their performance highly depends on the quality of the labels. However, in practical remote sensing applications, it is often expensive and time-consuming to obtain large-scale data sets with high-quality labels, which leads to a lack of sufficient supervised information. In some cases, only coarse-grained labels can be obtained, resulting in the lack of exact supervision. In addition, the supervised information obtained manually may be wrong, resulting in a lack of accurate supervision. Therefore, remote sensing image understanding often faces the problems of incomplete, inexact, and inaccurate supervised information, which will affect the breadth and depth of remote sensing applications. In order to solve the above-mentioned problems, researchers have explored various tasks in remote sensing image understanding under weak supervision. This paper summarizes the research progress of weakly supervised learning in the field of remote sensing, including three typical weakly supervised paradigms: 1) Incomplete supervision, where only a subset of training data is labeled; 2) Inexact supervision, where only coarse-grained labels of training data are given; 3) Inaccurate supervision, where the labels given are not always true on the ground." @default.
- W4224247055 created "2022-04-26" @default.
- W4224247055 creator A5027835055 @default.
- W4224247055 creator A5035508615 @default.
- W4224247055 creator A5052163069 @default.
- W4224247055 creator A5054292278 @default.
- W4224247055 creator A5064831469 @default.
- W4224247055 creator A5065061505 @default.
- W4224247055 creator A5074919292 @default.
- W4224247055 date "2022-06-01" @default.
- W4224247055 modified "2023-10-14" @default.
- W4224247055 title "Optical Remote Sensing Image Understanding With Weak Supervision: Concepts, methods, and perspectives" @default.
- W4224247055 cites W1002131439 @default.
- W4224247055 cites W148878710 @default.
- W4224247055 cites W1497429237 @default.
- W4224247055 cites W1927251054 @default.
- W4224247055 cites W1939429412 @default.
- W4224247055 cites W1950365613 @default.
- W4224247055 cites W1968545881 @default.
- W4224247055 cites W1971109292 @default.
- W4224247055 cites W1971840768 @default.
- W4224247055 cites W1978633512 @default.
- W4224247055 cites W2006623133 @default.
- W4224247055 cites W2012844989 @default.
- W4224247055 cites W2012878613 @default.
- W4224247055 cites W2014982480 @default.
- W4224247055 cites W2016860790 @default.
- W4224247055 cites W2020740057 @default.
- W4224247055 cites W2022664803 @default.
- W4224247055 cites W2025263547 @default.
- W4224247055 cites W2035881173 @default.
- W4224247055 cites W2042932437 @default.
- W4224247055 cites W2043259636 @default.
- W4224247055 cites W2056139484 @default.
- W4224247055 cites W2061863227 @default.
- W4224247055 cites W2074668987 @default.
- W4224247055 cites W2085443648 @default.
- W4224247055 cites W2085625911 @default.
- W4224247055 cites W2086642909 @default.
- W4224247055 cites W2101365302 @default.
- W4224247055 cites W2101825085 @default.
- W4224247055 cites W2105767708 @default.
- W4224247055 cites W2106092565 @default.
- W4224247055 cites W2107131609 @default.
- W4224247055 cites W2109751703 @default.
- W4224247055 cites W2113464037 @default.
- W4224247055 cites W2118096631 @default.
- W4224247055 cites W2125826911 @default.
- W4224247055 cites W2134663338 @default.
- W4224247055 cites W2150045166 @default.
- W4224247055 cites W2167460663 @default.
- W4224247055 cites W2215149882 @default.
- W4224247055 cites W2220963900 @default.
- W4224247055 cites W2221898772 @default.
- W4224247055 cites W2270801692 @default.
- W4224247055 cites W2283626220 @default.
- W4224247055 cites W2331302109 @default.
- W4224247055 cites W2343514605 @default.
- W4224247055 cites W2345059010 @default.
- W4224247055 cites W2346638707 @default.
- W4224247055 cites W2412558220 @default.
- W4224247055 cites W2412588858 @default.
- W4224247055 cites W2412667021 @default.
- W4224247055 cites W2464755555 @default.
- W4224247055 cites W2471138382 @default.
- W4224247055 cites W2532999214 @default.
- W4224247055 cites W2550999023 @default.
- W4224247055 cites W2558525954 @default.
- W4224247055 cites W2600061660 @default.
- W4224247055 cites W2603834682 @default.
- W4224247055 cites W2614267964 @default.
- W4224247055 cites W2648561407 @default.
- W4224247055 cites W2727957049 @default.
- W4224247055 cites W2746791238 @default.
- W4224247055 cites W2759832987 @default.
- W4224247055 cites W2761781479 @default.
- W4224247055 cites W2765583965 @default.
- W4224247055 cites W2767802855 @default.
- W4224247055 cites W2770429219 @default.
- W4224247055 cites W2782517596 @default.
- W4224247055 cites W2782522152 @default.
- W4224247055 cites W2798820905 @default.
- W4224247055 cites W2802932426 @default.
- W4224247055 cites W2809113079 @default.
- W4224247055 cites W2889081631 @default.
- W4224247055 cites W2889835342 @default.
- W4224247055 cites W2890022946 @default.
- W4224247055 cites W2894165434 @default.
- W4224247055 cites W2899747753 @default.
- W4224247055 cites W2901370612 @default.
- W4224247055 cites W2901664785 @default.
- W4224247055 cites W2901798046 @default.
- W4224247055 cites W2904995961 @default.
- W4224247055 cites W2907092121 @default.
- W4224247055 cites W2909257188 @default.
- W4224247055 cites W2921390441 @default.
- W4224247055 cites W2940726923 @default.
- W4224247055 cites W2943766732 @default.