Plant Diseases Recognition on Digital Images using Swin Transformer

Author:

Song Hongjun1ORCID,Gao Yuanyuan1ORCID

Affiliation:

1. Science and Information College, Qingdao Agricultural University, China

Publisher

ACM

Reference15 articles.

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2. Szegedy C 2015. Going deeper with convolutions in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 1– 9 . Szegedy C 2015. Going deeper with convolutions in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 1–9.

3. Krizhevsky A, Sutskever I, Hinton GE ( 2012 ) Imagenet classification with deep convolutional neural networks in Advances in neural information processing systems . pp. 1097– 1105 . Krizhevsky A, Sutskever I, Hinton GE (2012) Imagenet classification with deep convolutional neural networks in Advances in neural information processing systems. pp. 1097–1105.

4. Zeiler MD , Fergus R. 2014. Visualizing and understanding convolutional networks in Computer vision–ECCV 2014 . ( Springer) , pp. 818– 833 . Zeiler MD, Fergus R. 2014. Visualizing and understanding convolutional networks in Computer vision–ECCV 2014. (Springer), pp. 818–833.

5. Ashish Vaswani , Noam Shazeer , Niki Parmar , Jakob Uszkoreit , Llion Jones , Aidan N Gomez , Łukasz Kaiser , and Illia Polosukhin . 2017 . Attention is all you need . In Advances in Neural Information Processing Systems , pp. 5998– 6008 . Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017. Attention is all you need. In Advances in Neural Information Processing Systems, pp. 5998–6008.

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