Image target detection method based on weak supervised learning
A target detection and weak supervision technology, applied in the field of neural networks, can solve problems such as over-dependence and weak supervision learning, and achieve the effect of ensuring accuracy
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[0046] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0047] This embodiment is aimed at detecting a pair of real scene images. The training of the model is carried out using the public data set VOCPascal. The pre-training backbone network module is carried out using the classification network Inception-ResNet-v2 trained on the public data set ImageNet. The target category (classification result ) for airplanes, bicycles, birds, ships, bottles, buses, cars, cats, chairs, cows, dining tables, dogs, horses, motorcycles, humans, potted plants, sheep, sofas, trains, and displays Wait.
[0048] A method for image target detection based on weakly supervise...
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