Unsupervised Domain Adaptation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

49 leaderboard tables shown for this task, 49 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. 10 shown of 49 until expanded.

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

34 datasets whose archive record lists this task, ordered by the archive's paper count. 30 shown of 34 until expanded.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 864 papers with code (1,951 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.

• Domain-Adversarial Training of Neural Networks
  28 May 2015 37 repositories listed Syntology ran 33 of 52 samples · 19 unverified · 22 pointer-only (licence)
  Our approach is directly inspired by the theory on domain adaptation suggesting that, for effective domain transfer to be achieved, predictions must be made based on features that cannot discriminate between the…
• Person Transfer GAN to Bridge Domain Gap for Person Re-Identification
  23 Nov 2017 30 repositories listed
  Although the performance of person Re-Identification (ReID) has been significantly boosted, many challenging issues in real scenarios have not been fully investigated, e.
• Unsupervised Domain Adaptation by Backpropagation
  26 Sep 2014 22 repositories listed Syntology ran 34 of 41 samples · 7 unverified · 14 pointer-only (licence)
  Here, we propose a new approach to domain adaptation in deep architectures that can be trained on large amount of labeled data from the source domain and large amount of unlabeled data from the target domain (no labeled…
• Adversarial Discriminative Domain Adaptation
  17 Feb 2017 20 repositories listed Syntology ran 14 of 48 samples · 34 unverified · 12 pointer-only (licence)
  Adversarial learning methods are a promising approach to training robust deep networks, and can generate complex samples across diverse domains.
• Joint Discriminative and Generative Learning for Person Re-identification
  15 Apr 2019 12 repositories listed Syntology ran 3 of 19 samples · 16 unverified
  To this end, we propose a joint learning framework that couples re-id learning and data generation end-to-end.
• Learning Generalisable Omni-Scale Representations for Person Re-Identification
  15 Oct 2019 9 repositories listed Syntology ran 6 of 9 samples · 3 unverified · 6 pointer-only (licence)
  An effective person re-identification (re-ID) model should learn feature representations that are both discriminative, for distinguishing similar-looking people, and generalisable, for deployment across datasets without…
• Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
  7 Dec 2017 9 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  To solve these problems, we introduce a new approach that attempts to align distributions of source and target by utilizing the task-specific decision boundaries.
• Deep CORAL: Correlation Alignment for Deep Domain Adaptation
  6 Jul 2016 9 repositories listed Syntology ran 10 of 16 samples · 6 unverified · 10 pointer-only (licence)
  CORAL is a "frustratingly easy" unsupervised domain adaptation method that aligns the second-order statistics of the source and target distributions with a linear transformation.
• Domain Adaptive Faster R-CNN for Object Detection in the Wild
  8 Mar 2018 8 repositories listed Syntology ran 1 of 8 samples · 7 unverified · 4 pointer-only (licence)
  The results demonstrate the effectiveness of our proposed approach for robust object detection in various domain shift scenarios.
• Rescaling Egocentric Vision
  23 Jun 2020 7 repositories listed Syntology ran 3 of 18 samples · 15 unverified
  This paper introduces the pipeline to extend the largest dataset in egocentric vision, EPIC-KITCHENS.
• Deep Hashing Network for Unsupervised Domain Adaptation
  22 Jun 2017 7 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  Domain adaptation or transfer learning algorithms address this challenge by leveraging labeled data in a different, but related source domain, to develop a model for the target domain.
• Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
  10 Mar 2022 6 repositories listed Syntology ran 5 of 17 samples · 12 unverified
  The conventional recipe for maximizing model accuracy is to (1) train multiple models with various hyperparameters and (2) pick the individual model which performs best on a held-out validation set, discarding the…
• AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation
  8 Jun 2021 6 repositories listed Syntology ran 8 of 20 samples · 12 unverified · 9 pointer-only (licence)
  We extend semi-supervised learning to the problem of domain adaptation to learn significantly higher-accuracy models that train on one data distribution and test on a different one.
• Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks
  16 Dec 2016 6 repositories listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  Collecting well-annotated image datasets to train modern machine learning algorithms is prohibitively expensive for many tasks.
• Domain Separation Networks
  22 Aug 2016 6 repositories listed Syntology ran 5 of 14 samples · 9 unverified · 6 pointer-only (licence)
  However, by focusing only on creating a mapping or shared representation between the two domains, they ignore the individual characteristics of each domain.
• GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval
  14 Dec 2021 5 repositories listed Syntology ran 0 of 5 samples · 5 unverified
  This limits the usage of dense retrieval approaches to only a few domains with large training datasets.
• LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
  17 Oct 2021 5 repositories listed Syntology ran 2 of 6 samples · 4 unverified
  Deep learning approaches have shown promising results in remote sensing high spatial resolution (HSR) land-cover mapping.
• Temporal Attentive Alignment for Large-Scale Video Domain Adaptation
  30 Jul 2019 5 repositories listed Syntology ran 3 of 10 samples · 7 unverified
  Finally, we propose Temporal Attentive Adversarial Adaptation Network (TA3N), which explicitly attends to the temporal dynamics using domain discrepancy for more effective domain alignment, achieving state-of-the-art…
• GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video Segmentation
  20 Sep 2023 4 repositories listed
  This paper studies the unsupervised domain adaption (UDA) for echocardiogram video segmentation, where the goal is to generalize the model trained on the source domain to other unlabelled target domains.
• S2R-DepthNet: Learning a Generalizable Depth-specific Structural Representation
  2 Apr 2021 4 repositories listed
  S2R-DepthNet consists of: a) a Structure Extraction (STE) module which extracts a domaininvariant structural representation from an image by disentangling the image into domain-invariant structure and domain-specific…
• Cluster Contrast for Unsupervised Person Re-Identification
  22 Mar 2021 4 repositories listed Syntology ran 7 of 14 samples · 7 unverified
  Thus, our method can solve the problem of cluster inconsistency and be applicable to larger data sets.
• Virtual Mixup Training for Unsupervised Domain Adaptation
  10 May 2019 4 repositories listed
  Existing methods only impose the locally-Lipschitz constraint around the training points while miss the other areas, such as the points in-between training data.
• ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
  30 Nov 2018 4 repositories listed Syntology ran 1 of 3 samples · 2 unverified · 1 pointer-only (licence)
  Semantic segmentation is a key problem for many computer vision tasks.
• DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation
  27 Mar 2018 4 repositories listed Syntology ran 0 of 17 samples · 17 unverified
  In computer vision, one is often confronted with problems of domain shifts, which occur when one applies a classifier trained on a source dataset to target data sharing similar characteristics (e.
• A DIRT-T Approach to Unsupervised Domain Adaptation
  23 Feb 2018 4 repositories listed
  Domain adaptation refers to the problem of leveraging labeled data in a source domain to learn an accurate model in a target domain where labels are scarce or unavailable.
• Correlation Alignment for Unsupervised Domain Adaptation
  6 Dec 2016 4 repositories listed
  In contrast to subspace manifold methods, it aligns the original feature distributions of the source and target domains, rather than the bases of lower-dimensional subspaces.
• Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image Segmentation
  15 Aug 2023 3 repositories listed
  To this end, we propose a context-aware pseudo-label refinement method for SF-UDA.
• Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image Segmentation
  26 Apr 2023 3 repositories listed
  As previous UDA&DG semantic segmentation methods are mostly based on outdated networks, we benchmark more recent architectures, reveal the potential of Transformers, and design the DAFormer network tailored for UDA&DG.
• Upcycling Models under Domain and Category Shift
  13 Mar 2023 3 repositories listed
  We examine the superiority of our GLC on multiple benchmarks with different category shift scenarios, including partial-set, open-set, and open-partial-set DA.
• Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation
  27 Jul 2022 3 repositories listed Syntology ran 6 of 13 samples · 7 unverified
  The prime challenge in unsupervised domain adaptation (DA) is to mitigate the domain shift between the source and target domains.

Syntology lines on 21 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.