Skip to content

thtang/aMMAI2018-paper-summary

Repository files navigation

aMMAI2018-paper-summary

Paper summary of Most read paper in ADVANCED TOPICS IN MULTIMEDIA ANALYSIS AND INDEXING course in National Taiwan University

course web site: https://winstonhsu.info/ammai-19s/

  • Iterative Quantization: A Procrustean Approach to Learning Binary Codes, Yunchao Gong and S. Lazebnik, CVPR 2011. [paper] [summary]

  • Learning From Noisy Large-Scale DatasetsWith Minimal Supervision, Veit at al., CVPR 2017. [paper] [summary]

  • Learning Deep Object Detectors from 3D Models, Peng et al., ICCV 2016 [paper] [summary]

  • Online Dictionary Learning for Sparse Coding , Mairal et al., ICML 2009 [paper] [summary]

  • A Hybrid Neural Network-Latent Topic Model, Li Wan et al., JMLR 2012 [paper] [summary]

  • Semi-supervised face image retrieval using sparse coding with identity constraint, B.-C. Chen, Y.-H. Kuo, Y.-Y. Chen, K.-Y. Chu, and W. Hsu. , ACM MM 2011 [paper]

  • Visualizing Data using t-SNE, Maaten et al., JMLR 2008 [paper] [summary]

  • VoxelNet End-to-End Learning for Point Cloud Based 3D Object Detection, Zhou et al., arXiv 2017 [paper] [summary]

  • Segmental audio word2vec: Representing utterances as sequences of vectors with applications in spoken term detection, Liu et al., arXiv 2018 [paper] [summary]

  • ArcFace: Additive Angular Margin Loss for Deep Face Recognition, Deng et al., arXiv 2018 [paper] [summary]

  • Neural Architecture Search with Reinforcement Learning, Zoph et al., ICLR 2017 [paper] [summary]

About

Paper summary of Most read paper in Advanced Topics in Multimedia Analysis and Indexing course in National Taiwan University

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published