Open cross-domain visual search

Author:

Thong William,Mettes Pascal,Snoek Cees G.M.

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing,Software

Reference79 articles.

1. Diversifying search results;Agrawal,2009

2. Generalizing from several related classification tasks to a new unlabeled sample;Blanchard,2011

3. Compact descriptors for sketch-based image retrieval using a triplet loss convolutional neural network;Bui;CVIU,2017

4. Sketching out the details: Sketch-based image retrieval using convolutional neural networks with multi-stage regression;Bui;Comput. Graph.,2018

5. Domain generalization by solving jigsaw puzzles;Carlucci,2019

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1. Development of a Visual Search Service Effectiveness Scale for Assessing Image Search Effectiveness: A Behavioral and Technological Perspective;International Journal of Human–Computer Interaction;2023-04-17

2. Structure-Aware Semantic-Aligned Network for Universal Cross-Domain Retrieval;Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval;2022-07-06

3. Augmented Multimodality Fusion for Generalized Zero-Shot Sketch-Based Visual Retrieval;IEEE Transactions on Image Processing;2022

4. Self-supervised Learning for Sketch-Based 3D Shape Retrieval;Pattern Recognition and Computer Vision;2022

5. Universal Cross-Domain Retrieval: Generalizing Across Classes and Domains;2021 IEEE/CVF International Conference on Computer Vision (ICCV);2021-10

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