Enhance the Efficacy of Deep CNN with Auxiliary Labels
- 22 November 2019
- conference paper
- conference paper
- Published by Association for Computing Machinery (ACM) in Proceedings of the 2019 5th International Conference on Robotics and Artificial Intelligence
Abstract
No abstract availableKeywords
This publication has 10 references indexed in Scilit:
- Learning Multi-attention Convolutional Neural Network for Fine-Grained Image RecognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2017
- Scene Categorization with Spectral FeaturesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2017
- Incomplete Attribute Learning with auxiliary labelsPublished by International Joint Conferences on Artificial Intelligence ,2017
- The Unreasonable Effectiveness of Noisy Data for Fine-Grained RecognitionPublished by Springer Science and Business Media LLC ,2016
- Road crack detection using deep convolutional neural networkPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2016
- Fine-Grained Image Classification by Exploring Bipartite-Graph LabelsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2016
- Learning Deep Representation for Face Alignment with Auxiliary AttributesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2015
- Hyper-class augmented and regularized deep learning for fine-grained image classificationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2015
- CaffePublished by Association for Computing Machinery (ACM) ,2014
- A Novel LBP Based Methods for Pavement Crack DetectionJournal of Pattern Recognition Research, 2010