How useful is Active Learning for Image-based Plant Phenotyping?

How useful is Active Learning for Image-based Plant Phenotyping?

7 June 2020

Koushik Nagasubramanian

Talukder Z. Jubery

Fateme Fotouhi Ardakani

Asheesh K. Singh

Arti Singh

Baskar Ganapathysubramanian

Papers citing "How useful is Active Learning for Image-based Plant Phenotyping?"

17 / 17 papers shown

Title
On Statistical Bias In Active Learning: How and When To Fix It Sebastian Farquhar Y. Gal Tom Rainforth TDI HAI 40 85 0 27 Jan 2021
Scalable learning for bridging the species gap in image-based plant phenotyping Daniel Ward Peyman Moghadam 60 29 0 24 Mar 2020
LeafGAN: An Effective Data Augmentation Method for Practical Plant Disease Diagnosis Q. H. Cap H. Uga S. Kagiwada Hitoshi Iyatomi MedIm 39 147 0 24 Feb 2020
Active Learning with Point Supervision for Cost-Effective Panicle Detection in Cereal Crops Amir Soleimani Sai Vikas Desai Christof Monz S. Ninomiya Wei Guo 84 60 0 04 Oct 2019
DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning A. Olsen D. Konovalov B. Philippa P. Ridd Jake Wood ... Owen Kenny J. Whinney Brendan Calvert M. R. Azghadi Ronald D. White 54 382 0 09 Oct 2018
Explaining hyperspectral imaging based plant disease identification: 3D CNN and saliency maps Koushik Nagasubramanian Sarah E. Jones Ashutosh Kumar Singh Arti Singh Baskar Ganapathysubramanian Soumik Sarkar FAtt 34 49 0 24 Apr 2018
Localization-Aware Active Learning for Object Detection Chieh-Chi Kao Teng-Yok Lee P. Sen Ming-Yuan Liu ObjD 54 122 0 16 Jan 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 173 19,262 0 13 Jan 2018
ARIGAN: Synthetic Arabidopsis Plants using Generative Adversarial Network M. Giuffrida H. Scharr Sotirios A. Tsaftaris GAN 31 97 0 04 Sep 2017
Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation Ling Yang Yizhe Zhang Jianxu Chen Siyuan Zhang Danny Chen MedIm 65 504 0 15 Jun 2017
Deep Bayesian Active Learning with Image Data Y. Gal Riashat Islam Zoubin Ghahramani BDL UQCV 68 1,734 0 08 Mar 2017
Cost-Effective Active Learning for Deep Image Classification Keze Wang Dongyu Zhang Ya Li Ruimao Zhang Liang Lin VLM 88 678 0 13 Jan 2017
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 429 18,346 0 27 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,814 0 10 Dec 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 802 9,302 0 06 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.7K 150,006 0 22 Dec 2014
Bayesian Active Learning for Classification and Preference Learning N. Houlsby Ferenc Huszár Zoubin Ghahramani M. Lengyel 112 910 0 24 Dec 2011