Fetching the paper…
Reading the bibliography…
This paper focuses on network pruning for image retrieval acceleration.
Optimal brain damage
Yann LeCun, John S. Denker, and Sara A. Solla · 1990
Earlier work this paper cites.
Optimal brain surgeon: Extensions and performance comparisons
Babak Hassibi, David G. Stork, and Gregory Wolff · 1994
Earlier work this paper cites.
Object retrieval with large vocabularies and fast spatial matching
J. Philbin, O. Chum, M. Isard, J. Sivic, and A. Zisserman · 2007
Earlier work this paper cites.
Lost in quantization: Improving particular object retrieval in large scale image databases
J. Philbin, O. Chum, M. Isard, J. Sivic, and A. Zisserman · 2008
Earlier work this paper cites.
Imagenet: A large-scale hierarchical image database
J. Deng, W. Dong, R. Socher, L. Li, Kai Li, and Li Fei-Fei · 2009
Earlier work this paper cites.
L2,1-norm regularized discriminative feature selection for unsupervised learning
Yi Yang, Heng Tao Shen, Zhigang Ma, Zi Huang, and Xiaofang Zhou · 2011
Earlier work this paper cites.
Neural codes for image retrieval
Artem Babenko, Anton Slesarev, Alexander Chigorin, and Victor S. Lempitsky · 2014
Earlier work this paper cites.
Compressing deep convolutional networks using vector quantization
Yunchao Gong, Liu Liu, Ming Yang, and Lubomir D. Bourdev · 2014
Earlier work this paper cites.
Speeding up convolutional neural networks with low rank expansions
Max Jaderberg, Andrea Vedaldi, and Andrew Zisserman · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
Earlier work this paper cites.
Aggregating local deep features for image retrieval
Artem Babenko and Victor S. Lempitsky · 2015
Earlier work this paper cites.
Song Han, Huizi Mao, and William J. Dally · 2015
Earlier work this paper cites.
Learning both weights and connections for efficient neural networks
Song Han, Jeff Pool, John Tran, and William J. Dally · 2015
Cited alongside, same era.
Distilling the knowledge in a neural network
Geoffrey Hinton, Oriol Vinyals, and Jeffrey Dean · 2015
Cited alongside, same era.
From single image query to detailed 3d reconstruction
Johannes L. Schönberger, Filip Radenović, Ondřej Chum, and Jan-Michael Frahm · 2015
Cited alongside, same era.
Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2015
Cited alongside, same era.
Scalable person re-identification: A benchmark
L. Zheng, L. Shen, L. Tian, S. Wang, J. Wang, and Q. Tian · 2015
Cited alongside, same era.
Net2net: Accelerating learning via knowledge transfer
Tianqi Chen, Ian Goodfellow, and Jonathon Shlens · 2016
Locality adaptive discriminant analysis
Xuelong Li, Mulin Chen, Feiping Nie, and Qi Wang · 2017
Later among the works it cites.
Pruning convolutional neural networks for resource efficient inference
Molchanov Pavlo, Tyree Stephen, Karras Tero, Aila Timo, and Kautz Jan · 2017
Later among the works it cites.
A discriminatively learned cnn embedding for person reidentification
Zhedong Zheng, Liang Zheng, and Yi Yang · 2017
Later among the works it cites.
Netvlad: Cnn architecture for weakly supervised place recognition
R. Arandjelović, P. Gronat, A. Torii, T. Pajdla, and J. Sivic · 2018
Later among the works it cites.
The lottery ticket hypothesis: Training pruned neural networks
Jonathan Frankle and Michael Carbin · 2018
Later among the works it cites.
Soft filter pruning for accelerating deep convolutional neural networks
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Cited alongside, same era.
Pruning filters for efficient convnets
Hao Li, Asim Kadav, Igor Durdanovic, Hanan Samet, and Hans Peter Graf · 2016
Cited alongside, same era.
Xnor-net: Imagenet classification using binary convolutional neural networks
Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, and Ali Farhadi · 2016
Cited alongside, same era.
Particular Object Retrieval With Integral Max-Pooling of CNN Activations
Giorgos Tolias, Ronan Sicre, and Hervé Jégou · 2016
Cited alongside, same era.
Person re-identification: Past, present and future
Liang Zheng, Yi Yang, and Alexander G. Hauptmann · 2016
Cited alongside, same era.
Channel pruning for accelerating very deep neural networks
Yihui He, Xiangyu Zhang, and Jian Sun · 2017
Cited alongside, same era.
Yang He, Guoliang Kang, Xuanyi Dong, Yanwei Fu, and Yi Yang · 2018
Later among the works it cites.
Paraphrasing complex network: Network compression via factor transfer
Jangho Kim, Seonguk Park, and Nojun Kwak · 2018
Later among the works it cites.
Fine-tuning CNN image retrieval with no human annotation
F. Radenović, G. Tolias, and O. Chum · 2018
Later among the works it cites.
Filter pruning via geometric median for deep convolutional neural networks acceleration
Yang He, Ping Liu, Ziwei Wang, Zhilan Hu, and Yi Yang · 2019
Later among the works it cites.
Learning sparse sharing architectures for multiple tasks
Tianxiang Sun, Yunfan Shao, Xiaonan Li, Pengfei Liu, Hang Yan, Xipeng Qiu, and Xuanjing Huang · 2019
Later among the works it cites.
Joint discriminative and generative learning for person re-identification
Zhedong Zheng, Xiaodong Yang, Zhiding Yu, Liang Zheng, Yi Yang, and Jan Kautz · 2019
Later among the works it cites.