Advanced Image and Video Retrieval Techniques

TopicLeading institutions, researchers & key papers

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.

208

Works

IDs:OpenAlex

How has Advanced Image and Video Retrieval Techniques's publication output changed over time?

ScholarIQpublication output · 2007–2021

Output grew0% over the shown period — from 2 works in 2007 to 2 in 2021.

200720092010201120152016201720192021

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

S4363607795. 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

S25538012. 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

S4210173141. 2019617 Citations