Learning Regional Attention over Multi-resolution Deep Convolutional
Features for Trademark Retrieval

Learning Regional Attention over Multi-resolution Deep Convolutional Features for Trademark Retrieval

15 April 2021

Sridha Sridharan

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Papers citing "Learning Regional Attention over Multi-resolution Deep Convolutional Features for Trademark Retrieval"

11 / 11 papers shown

Title
Component-based Attention for Large-scale Trademark Retrieval Seyyedeh Atefeh Musavi Simon Denman Sabesan Sivapalan M. Hashemi Clinton Fookes Sandra Mau 58 22 0 07 Nov 2018
Class-Weighted Convolutional Features for Visual Instance Search Albert Jiménez J. Álvarez Xavier Giró-i-Nieto 43 75 0 09 Jul 2017
Billion-scale similarity search with GPUs Jeff Johnson Matthijs Douze Hervé Jégou 257 3,723 0 28 Feb 2017
A Large-scale Dataset and Benchmark for Similar Trademark Retrieval Osman Tursun Cemal Aker Sinan Kalkan AAML 53 21 0 20 Jan 2017
End-to-end Learning of Deep Visual Representations for Image Retrieval Albert Gordo Jon Almazán Jérôme Revaud Diane Larlus VLM 84 541 0 25 Oct 2016
SIFT Meets CNN: A Decade Survey of Instance Retrieval Liang Zheng Yi Yang Q. Tian 69 698 0 05 Aug 2016
Cross-dimensional Weighting for Aggregated Deep Convolutional Features Yannis Kalantidis Clayton Mellina Simon Osindero FAtt 49 433 0 13 Dec 2015
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,020 0 10 Dec 2015
Particular object retrieval with integral max-pooling of CNN activations Giorgos Tolias R. Sicre Hervé Jégou 96 967 0 18 Nov 2015
Aggregating Deep Convolutional Features for Image Retrieval Artem Babenko Victor Lempitsky FAtt 66 692 0 26 Oct 2015
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,547 0 01 Sep 2014