FCNet: A feature context network based on ensemble framework for image retrieval
Abstract In order to train an end‐to‐end model for better performance in distinguishing superclasses and make the model more sensitive to inter‐class differences, the authors propose a Feature Context Network (FCNet), a novel ensemble framework for image retrieval based on clustering (EFC) and metri...
Main Authors: | Siyang Li, Yu Guo, Hao Ren, Ziyi Wang, Keyan Ren, Chunsheng Liu, Hua Lin, Jianbo Shi |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2022-06-01
|
Series: | IET Computer Vision |
Subjects: | |
Online Access: | https://doi.org/10.1049/cvi2.12088 |
Similar Items
-
IBaggedFCNet: An Ensemble Framework for Anomaly Detection in Surveillance Videos
by: Yumna Zahid, et al.
Published: (2020-01-01) -
FCNet: Stereo 3D Object Detection with Feature Correlation Networks
by: Yingyu Wu, et al.
Published: (2022-08-01) -
Multimedia Information Retrieval /
by: Quevedo, Eduardo, editor
Published: (2021) -
Simultaneous Video Retrieval and Alignment
by: Won Jo, et al.
Published: (2023-01-01) -
Dual‐granularity feature fusion in visible‐infrared person re‐identification
by: Shuang Cai, et al.
Published: (2024-03-01)