Deep CNNs With Spatially Weighted Pooling for Fine-Grained Car Recognition


Fine-grained car recognition aims to recognize the category information of a car, such as car make, car model, or even the year of manufacture. A number of recent studies have shown that a deep convolutional neural network (DCNN) trained on a large-scale data set can achieve impressive results at a range of generic object classification tasks. In this paper… (More)
DOI: 10.1109/TITS.2017.2679114


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