Browse State-of-the-Art › Robust Face Recognition
Robust Face Recognition
23 papers with code · 0 benchmarks · 6 datasets archive 2025-07-28
Robust face recognition is the task of performing recognition in an unconstrained environment, where there is variation of view-point, scale, pose, illumination and expression of the face images.
( Image credit: MeGlass dataset )
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
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
6 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
23 shown of 23 papers with code (95 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.
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24 May 2022 6 repositories listedDeep face recognition has achieved great success due to large-scale training databases and rapidly developing loss functions.
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20 Mar 2020 5 repositories listedFace image quality is an important factor to enable high performance face recognition systems.
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5 Dec 2018 3 repositories listedFace Analysis Project on MXNet
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24 Sep 2025 2 repositories listedExisting methods often rely on large intermediate feature maps or face metadata information, making them incompatible with legacy biometric template databases that store pre-computed features.
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5 Jan 2022 2 repositories listedIn addition, the lack of high-quality paired data remains an obstacle for both methods.
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27 Feb 2020 2 repositories listedWe evaluate our model on unsupervised person re-identification and pose-invariant face recognition.
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5 Sep 2024 1 repository listedIn this paper, we propose a Triple Condition Diffusion Model (TCDiff) to improve face style transfer from real to synthetic faces through 2D and 3D facial constraints, enhancing face identity consistency while keeping…
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4 Feb 2024 1 repository listedBiometric authentication systems are crucial for security, but developing them involves various complexities, including privacy, security, and achieving high accuracy without directly storing pure biometric data in…
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15 Mar 2021 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)We prove that face rotation in the image space is equivalent to an additive residual component in the feature space of CNNs, which is determined solely by the rotation.
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30 Dec 2020 1 repository listedMany recent 3D facial texture reconstruction and pose manipulation from a single image approaches still rely on large and clean face datasets to train image-to-image Generative Adversarial Networks (GANs).
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1 Oct 2020 1 repository listedThe proposed LPD model is trained in an end-to-end manner and only utilizes the original and synthetic training data.
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6 Dec 2019 1 repository listedFirst, a low-rank representation is introduced to handle the possible contamination of the training as well as test data.
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1 Oct 2019 1 repository listedInspired by the fact that human visual system explicitly ignores the occlusion and only focuses on the non-occluded facial areas, we propose a mask learning strategy to find and discard corrupted feature elements from…
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17 Aug 2019 1 repository listedDeep Convolutional Neural Networks (CNNs) have been pushing the frontier of the face recognition research in the past years.
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4 Jun 2018 1 repository listedA feasible method is to collect large-scale face images with eyeglasses for training deep learning methods.
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2 Mar 2018 1 repository listed Syntology ran 1 of 15 samples · 14 unverifiedHowever, many contemporary face recognition models still perform relatively poor in processing profile faces compared to frontal faces.
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13 Oct 2017 1 repository listed2D face analysis techniques, such as face landmarking, face recognition and face verification, are reasonably dependent on illumination conditions which are usually uncontrolled and unpredictable in the real world.
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15 Feb 2017 1 repository listedFirst, we propose a multi-task Convolutional Neural Network (CNN) for face recognition where identity classification is the main task and pose, illumination, and expression estimations are the side tasks.
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1 Jun 2016 1 repository listedPerson re-identification across cameras remains a very challenging problem, especially when there are no overlapping fields of view between cameras.
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15 Feb 2015 1 repository listedThe capacity to recognize faces under varied poses is a fundamental human ability that presents a unique challenge for computer vision systems.
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6 Aug 2014 1 repository listedFirst, a new image feature called Normalized Pixel Difference (NPD) is proposed.
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21 Jan 2014 1 repository listedTo perform unconstrained face recognition robust to variations in illumination, pose and expression, this paper presents a new scheme to extract "Multi-Directional Multi-Level Dual-Cross Patterns" (MDML-DCPs) from face…
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21 Jul 2010 1 repository listedL1-minimization refers to finding the minimum L1-norm solution to an underdetermined linear system b=Ax.
Syntology lines on 2 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.
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