[Paper] Visual Instance Retrieval with Deep Convolutional Networks

Author:

Razavian Ali S.1,Sullivan Josephine1,Carlsson Stefan1,Maki Atsuto1

Affiliation:

1. Royal Institute of Technology (KTH)

Publisher

Institute of Image Information and Television Engineers

Subject

Computer Graphics and Computer-Aided Design,Media Technology,Signal Processing

Reference39 articles.

1. 1) Karen Simonyan, Andrea Vedaldi, and Andrew Zisserman, “Deep inside convolutional networks: Visualising image classification models and saliency maps.,” arXiv:1312.6034 [cs.CV], 2013.

2. 2) Ross B. Girshick, Forrest N. Iandola, Trevor Darrell, and Jitendra Malik, “Deformable part models are convolutional neural networks,” arXiv:1409.5403 [cs.CV], 2014.

3. 3) Ken Chatfield, Karen Simonyan, Andrea Vedaldi, and Andrew Zisserman, “Return of the devil in the details: Delving deep into convolutional nets,” arXiv:1405.3531 [cs.CV], 2014.

4. 4) Matthew D. Zeiler and Rob Fergus, “Visualizing and understanding convolutional networks,” in ECCV, 2014, pp. 818-833.

5. 5) Hossein Azizpour, Ali S. Razavian, Josephine Sullivan, Atsuto Maki, and Stefan Carlsson, “Factors of transferability for a generic ConvNet representation,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016.

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