Local Matching Networks for Engineering Diagram Search

Author:

Dai Zhuyun1,Fan Zhen2,Rahman Hafeezul1,Callan Jamie3

Affiliation:

1. Carnegie Mellon University, USA

2. Tsinghua University, China

3. Carnegie Mellon Univeristy, USA

Publisher

ACM Press

Reference27 articles.

1. Artem Babenko and Victor S. Lempitsky. 2015. Aggregating Local Deep Features for Image Retrieval. In Proceedings of the IEEE International Conference on Computer Vision. 1269-1277.

2. Artem Babenko, Anton Slesarev, Alexander Chigorin, and Victor S. Lempitsky. 2014. Neural Codes for Image Retrieval. In Proceedings of the 13th European Conference on Computer Vision. 584-599.

3. Zhuyun Dai, Chenyan Xiong, Jamie Callan, and Zhiyuan Liu. 2018. Convolutional Neural Networks for Soft-Matching N-Grams in Ad-hoc Search. In Proceedings of the 11th ACM International Conference on Web Search and Data Mining. 126-134.

4. Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei. 2009. Imagenet: A large-scale hierarchical image database. In Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on. Ieee, 248-255.

5. Mathias Eitz, Kristian Hildebrand, Tamy Boubekeur, and Marc Alexa. 2011. Sketch-Based Image Retrieval: Benchmark and Bag-of-Features Descriptors. IEEE Transactions on Visualization and Computer Graphics (2011), 1624-1636.

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