Vision Transformer-Based Bark Image Recognition for Tree Identification

Author:

Yamabe Towa,Saitoh TakeshiORCID

Publisher

Springer Nature Switzerland

Reference19 articles.

1. Boudra, S., Yahiaoui, I., Behloul, A.: A set of statistical radial binary patterns for tree species identification based on bark images. Multim. Tools Appl. 80, 22373–22404 (2021). https://doi.org/10.1007/s11042-020-08874-x

2. Carpentier, M., Giguere, P., Gaudreault, J.: Tree species identification from bark images using convolutional neural networks. In: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1075–1081 (2018). https://doi.org/10.1109/IROS.2018.8593514

3. Lecture Notes in Computer Science;L-C Chen,2018

4. Dosovitskiy, A., et al.: An image is worth 16x16 words: transformers for image recognition at scale. In: International Conference on Learning Representations (ICLR) (2021)

5. Fiel, S., Sablatnig, R.: Automated identification of tree species from images of the bark, leaves and needles. In: 16th Computer Vision Winter Workshop (2011)

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