Image-based Automated Species Identification: Can Virtual Data Augmentation Overcome Problems of Insufficient Sampling?

18 October 2020

Papers citing "Image-based Automated Species Identification: Can Virtual Data Augmentation Overcome Problems of Insufficient Sampling?"

21 / 21 papers shown

Title
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning Yongqin Xian Saurabh Sharma Bernt Schiele Zeynep Akata GAN VLM 85 489 0 25 Mar 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 529 10,540 0 12 Dec 2018
Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders Edgar Schönfeld Sayna Ebrahimi Samarth Sinha Trevor Darrell Zeynep Akata DRL 69 594 0 05 Dec 2018
Lead Sheet Generation and Arrangement by Conditional Generative Adversarial Network Hao-Min Liu Yi-Hsuan Yang MGen GAN 46 39 0 30 Jul 2018
The Effectiveness of Data Augmentation in Image Classification using Deep Learning Luis Perez Jason Wang 77 2,782 0 13 Dec 2017
Progressive Growing of GANs for Improved Quality, Stability, and Variation Tero Karras Timo Aila S. Laine J. Lehtinen GAN 118 7,339 0 27 Oct 2017
CAN: Creative Adversarial Networks, Generating "Art" by Learning About Styles and Deviating from Style Norms Ahmed Elgammal Bingchen Liu Mohamed Elhoseiny Marian Mazzone GAN 49 470 0 21 Jun 2017
Good Practice in CNN Feature Transfer Liang Zheng Yali Zhao Shengjin Wang Jingdong Wang Q. Tian 61 161 0 01 Apr 2016
Latent Embeddings for Zero-shot Classification Yongqin Xian Zeynep Akata Gaurav Sharma Quynh N. Nguyen Matthias Hein Bernt Schiele BDL 69 718 0 29 Mar 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 227 9,298 0 14 Dec 2015
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.9K 193,426 0 10 Dec 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.4K 149,842 0 22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.4K 100,213 0 04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.4K 39,472 0 01 Sep 2014
Deep Learning in Neural Networks: An Overview Jürgen Schmidhuber HAI 222 16,336 0 30 Apr 2014
CNN Features off-the-shelf: an Astounding Baseline for Recognition A. Razavian Hossein Azizpour Josephine Sullivan S. Carlsson 147 4,938 0 23 Mar 2014
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks P. Sermanet David Eigen Xiang Zhang Michaël Mathieu Rob Fergus Yann LeCun ObjD 149 5,004 0 21 Dec 2013
Network In Network Min Lin Qiang Chen Shuicheng Yan 273 6,274 0 16 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 486 15,861 0 12 Nov 2013
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 224 12,422 0 24 Jun 2012
SMOTE: Synthetic Minority Over-sampling Technique Nitesh Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 331 25,569 0 09 Jun 2011