Inception-v3 for flower classification

By Xiaoling Xia, Cui Xu, Bing Nan. International Conference on Image, Vision and Computing, 2017

504 citations recorded by the source corpus.

Subfields: Atmospheric Science, Molecular Biology, Pharmacology

View Paper: https://www.semanticscholar.org/paper/c0dae9244045c10e5818db389b94e0b432722eec

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. Gyanendra Kumar Verma
2. Anamika Dhillon

In Molecular Biology

1. Gyanendra Kumar Verma
2. Anamika Dhillon

In Pharmacology

1. Gyanendra Kumar Verma
2. Anamika Dhillon

Citations in the corpus

• Convolutional neural network: a review of models, methodologies and applications to object detection (2019, methodology): “Xia [101] propounded an Incep-tion-v3 model for flower classification.”