Non-local DenseNet for Plant CLEF 2019 Contest

Image-based plant identification is a promising tool constituting the automation of agriculture and environmental conservation as stated in. As an attempt to tackle the data deficient challenge in PlantCLEF 2019, the DenseNet architecture with competitive performance and relatively low number of parameters is augmented with a non-local block. A variety of data sampling schemes are also evaluated as a part of the work. The evaluation of the model and the methods is detailed in the content of the paper.

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