A Robust Approach to Open Vocabulary Image Retrieval with Deep Convolutional Neural Networks and Transfer Learning

Robust Approach

Algorithm Selection Framework for Legalization Using Deep Convolutional Neural Networks and Transfer Learning

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems ◽

10.1109/tcad.2021.3079126 ◽

2021 ◽

pp. 1-1

Author(s):

Renan Netto ◽

Sheiny Fabre ◽

Tiago Augusto Fontana ◽

Vinicius Livramento ◽

Laercio L. Pilla ◽

...

Keyword(s):

Neural Networks ◽

Transfer Learning ◽

Algorithm Selection ◽

Selection Framework

Multilevel Recognition of UAV-to-Ground Targets Based on Micro-Doppler Signatures and Transfer Learning of Deep Convolutional Neural Networks

IEEE Transactions on Instrumentation and Measurement ◽

10.1109/tim.2020.3034616 ◽

2021 ◽

Vol 70 ◽

pp. 1-11

Author(s):

Lingzhi Zhu ◽

Shuning Zhang ◽

Xun Wang ◽

Si Chen ◽

Huichang Zhao ◽

...

Keyword(s):

Neural Networks ◽

Transfer Learning ◽

A quantitative study of aggregation behaviour and integrity of spray-dried microcapsules using three deep convolutional neural networks with transfer learning

Journal of Food Engineering ◽

10.1016/j.jfoodeng.2021.110515 ◽

2021 ◽

Vol 300 ◽

pp. 110515

Author(s):

Fanqianhui Yu ◽

Tao Lu ◽

Baokun Han ◽

Changhu Xue

Keyword(s):

Neural Networks ◽

Transfer Learning ◽

Quantitative Study ◽

Aggregation Behaviour ◽

Spray Dried

Document Image Classification with Intra-Domain Transfer Learning and Stacked Generalization of Deep Convolutional Neural Networks

2018 24th International Conference on Pattern Recognition (ICPR) ◽

10.1109/icpr.2018.8545630 ◽

2018 ◽

Cited By ~ 9

Author(s):

Arindam Das ◽

Saikat Roy ◽

Ujjwal Bhattacharya ◽

Swapan K. Parui

Keyword(s):

Neural Networks ◽

Image Classification ◽

Transfer Learning ◽

Document Image ◽

Stacked Generalization ◽

Domain Transfer ◽

Domain Transfer Learning

Comparative Experimental Investigation and Application of Five Classic Pre-Trained Deep Convolutional Neural Networks via Transfer Learning for Diagnosis of Breast Cancer

Advances in Science and Technology – Research Journal ◽

10.12913/22998624/137964 ◽

2021 ◽

Vol 15 (3) ◽

pp. 1-8

Author(s):

Hidir Nogay ◽

Tahir Cetin Akinci ◽

Musa Yilmaz

Keyword(s):

Breast Cancer ◽

Neural Networks ◽

Experimental Investigation ◽

Transfer Learning ◽

Comparative Experimental Investigation

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

Image retrieval based on deep Convolutional Neural Networks and binary hashing learning

10.1109/icassp.2017.7952455 ◽

2017 ◽

Cited By ~ 5

Author(s):

Tian-qiang Peng ◽

Fang Li

Keyword(s):

Neural Networks ◽

Image Retrieval ◽

Exploiting tf-idf in deep Convolutional Neural Networks for Content Based Image Retrieval

Multimedia Tools and Applications ◽

10.1007/s11042-018-6212-1 ◽

2018 ◽

Vol 77 (23) ◽

pp. 30729-30748 ◽

Cited By ~ 5

Author(s):

Nikolaos Kondylidis ◽

Maria Tzelepi ◽

Anastasios Tefas

Keyword(s):

Neural Networks ◽

Image Retrieval ◽

Content Based Image Retrieval ◽

Proceedings of International Joint Conference on Computational Intelligence - Algorithms for Intelligent Systems ◽

Human Age Prediction from Facial Image Using Transfer Learning in Deep Convolutional Neural Networks

10.1007/978-981-15-3607-6_17 ◽

2020 ◽

pp. 217-229

Author(s):

M. A. H. Akhand ◽

Md. Ijaj Sayim ◽

Shuvendu Roy ◽

N. Siddique

Keyword(s):

Neural Networks ◽

Transfer Learning ◽

Facial Image ◽

Age Prediction

2018 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) ◽

Deep Convolutional Neural Networks with Transfer Learning for Neonatal Pain Expression Recognition

10.1109/fskd.2018.8687129 ◽

2018 ◽

Author(s):

Guanming Lu ◽

Qiang Hao ◽

Kaiting Kong ◽

Jingjie Yan ◽

Haibo Li ◽

...

Keyword(s):

Neural Networks ◽

Transfer Learning ◽

Expression Recognition ◽

Neonatal Pain ◽

Pain Expression

15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine ◽

Combination of CT motion simulation and deep convolutional neural networks with transfer learning to recover Agatston scores

10.1117/12.2534882 ◽

2019 ◽

Author(s):

Thomas Holmes ◽

Kevin Ma ◽

Amir Pourmorteza

Keyword(s):

Neural Networks ◽

Transfer Learning ◽

Motion Simulation ◽