Degrade or Super-Resolve to Recognize? Bridging the Domain Gap for Cross-Resolution Face Recognition
In this work, we address the problem of cross-resolution face recognition, where a low-resolution probe face is compared against high-resolution gallery faces. To address this challenging problem, we investigate two approaches for bridging the quality gap between low-quality probe faces and high-qua...
Saved in:
Main Authors: | Klemen Grm, Berk Kemal Ozata, Alperen Kantarci, Vitomir Struc, Hazim Kemal Ekenel |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10833634/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
GazeNet: A lightweight multitask sclera feature extractor
by: Matej Vitek, et al.
Published: (2025-01-01) -
Deep patch‐wise supervision for presentation attack detection
by: Alperen Kantarcı, et al.
Published: (2022-09-01) -
Efficient ear alignment using a two‐stack hourglass network
by: Anja Hrovatič, et al.
Published: (2023-03-01) -
Facilitating free travel in the Schengen area—A position paper by the European Association for Biometrics
by: Christoph Busch, et al.
Published: (2023-03-01) -
On improving interoperability for cross‐domain multi‐finger fingerprint matching using coupled adversarial learning
by: Md Mahedi Hasan, et al.
Published: (2023-07-01)