Orchids classification using spatial transformer network with adaptive scaling
© 2019, Springer Nature Switzerland AG. The orchids families are large, diverse flowering plants in the tropical areas. It is a challenging task to classify orchid species from images. In this paper, we proposed an adaptive classification model of the orchid images by using a Deep Convolutional Neur...
Saved in:
Main Authors: | Watcharin Sarachai, Jakramate Bootkrajang, Jeerayut Chaijaruwanich, Samerkae Somhom |
---|---|
Format: | Book Series |
Published: |
2020
|
Subjects: | |
Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85076641558&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/67754 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Chiang Mai University |
Similar Items
-
Towards instance-dependent label noise-tolerant classification: a probabilistic approach
by: Jakramate Bootkrajang, et al.
Published: (2018) -
Handwritten Character Recognition Using Active Semi-supervised Learning
by: Papangkorn Inkeaw, et al.
Published: (2018) -
An iterative bidirectional heuristic placement algorithm for solving the two-dimensional knapsack packing problem
by: Kanokwatt Shiangjen, et al.
Published: (2018) -
A generalised label noise model for classification
by: Jakramate Bootkrajang
Published: (2018) -
Rule-based page segmentation for palm leaf manuscript on color image
by: Papangkorn Inkeaw, et al.
Published: (2018)