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Advanced Image and Video Retrieval Techniques

TopicLeading institutions, researchers & key papers

Advanced Image and Video Retrieval Techniques is a topic indexed in ScholarIQ from OpenAlex.

What is known about Advanced Image and Video Retrieval Techniques?

ScholarIQrecord summary

This cluster of papers focuses on the development and evaluation of techniques for extracting, matching, and utilizing local image features for tasks such as object recognition, image retrieval, and scene classification. It covers a wide range of methods including local descriptors, deep learning approaches, binary codes, and cross-modal retrieval techniques.

How many works does Advanced Image and Video Retrieval Techniques have?

ScholarIQindexed works

Advanced Image and Video Retrieval Techniques has 208 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.

What is the OpenAlex record for Advanced Image and Video Retrieval Techniques?

ScholarIQopenalex

The OpenAlex for Advanced Image and Video Retrieval Techniques is on the source record.

What are the most-cited papers on Advanced Image and Video Retrieval Techniques?

ScholarIQmost cited works
ImageNet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, Li Fei-Fei
2009 IEEE Conference on Computer Vision and Pattern Recognition. 200962,405 Citations
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael S. Bernstein, Alexander C. Berg, Li Fei-Fei
International Journal of Computer Vision. 201540,426 Citations
SegFormer: Simple and Efficient Design for Semantic Segmentation with\n Transformers
Enze Xie, Wenhai Wang, Zhiding Yu, Anima Anandkumar, Jose M. Álvarez, Ping Luo
arXiv (Cornell University). 20213,361 CitationsOPEN ACCESS
Large-scale image retrieval with compressed Fisher vectors
Florent Perronnin, Yan Liu, Jorge Sánchez, Hervé Poirier
2010764 Citations
RIFT: Multi-Modal Image Matching Based on Radiation-Variation Insensitive Feature Transform
Jiayuan Li, Qingwu Hu, Mingyao Ai
IEEE Transactions on Image Processing. 2019617 Citations

Where is Advanced Image and Video Retrieval Techniques research published, and who funds it?

ScholarIQvenues & funding sources

TOP FUNDERS

National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
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How much of the research on Advanced Image and Video Retrieval Techniques is open access?

ScholarIQopen access share
40%OPEN ACCESS
Gold
0%
Green
33%
Hybrid
0%
Bronze
7%
Closed
60%

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