Heterogeneous Face Recognition

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

3 leaderboard tables shown for this task, 3 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

2 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

7 shown of 7 papers with code (36 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Rethinking the Domain Gap in Near-infrared Face Recognition
  1 Dec 2023 2 repositories listed
  Heterogeneous face recognition (HFR) involves the intricate task of matching face images across the visual domains of visible (VIS) and near-infrared (NIR).
• Bridging the Gap: Heterogeneous Face Recognition with Conditional Adaptive Instance Modulation
  13 Jul 2023 2 repositories listed
  Heterogeneous Face Recognition (HFR) aims to match face images across different domains, such as thermal and visible spectra, expanding the applicability of Face Recognition (FR) systems to challenging scenarios.
• Prepended Domain Transformer: Heterogeneous Face Recognition without Bells and Whistles
  12 Oct 2022 2 repositories listed
  The core idea of the proposed approach is to add a novel neural network block called Prepended Domain Transformer (PDT) in front of a pre-trained face recognition (FR) model to address the domain gap.
• DVG-Face: Dual Variational Generation for Heterogeneous Face Recognition
  20 Sep 2020 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  As a consequence, massive new diverse paired heterogeneous images with the same identity can be generated from noises.
• A2-LINK: Recognizing Disguised Faces via Active Learning and Adversarial Noise based Inter-Domain Knowledge
  1 Jun 2020 1 repository listed
  Face recognition in the unconstrained environment is an ongoing research challenge.
• A-LINK: Recognizing Disguised Faces via Active Learning based Inter-Domain Knowledge
  23 Sep 2019 1 repository listed
  Recent advancements in deep learning have significantly increased the capabilities of face recognition.
• Dual Variational Generation for Low-Shot Heterogeneous Face Recognition
  25 Mar 2019 1 repository listed
  Then, in order to ensure the identity consistency of the generated paired heterogeneous images, we impose a distribution alignment in the latent space and a pairwise identity preserving in the image space.

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.