Image to sketch recognition

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

4 leaderboard tables shown for this task, 4 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

3 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

6 shown of 6 papers with code (7 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.

• Reducing Domain Gap by Reducing Style Bias
  25 Oct 2019 3 repositories listed
  Convolutional Neural Networks (CNNs) often fail to maintain their performance when they confront new test domains, which is known as the problem of domain shift.
• SelfReg: Self-supervised Contrastive Regularization for Domain Generalization
  20 Apr 2021 2 repositories listed Syntology ran 2 of 7 samples · 5 unverified
  However, the performance of contrastive learning fundamentally depends on quality and quantity of negative data pairs.
• Crafting Distribution Shifts for Validation and Training in Single Source Domain Generalization
  29 Sep 2024 1 repository listed
  The method that achieves the best performance on the augmented validation is selected from the proposed family.
• Improved Test-Time Adaptation for Domain Generalization
  10 Apr 2023 1 repository listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  Generally, a TTT strategy hinges its performance on two main factors: selecting an appropriate auxiliary TTT task for updating and identifying reliable parameters to update during the test phase.
• Cross-Domain Ensemble Distillation for Domain Generalization
  25 Nov 2022 1 repository listed
  Domain generalization is the task of learning models that generalize to unseen target domains.
• Edge Augmentation for Large-Scale Sketch Recognition without Sketches
  26 Feb 2022 1 repository listed
  To bridge the domain gap we present a novel augmentation technique that is tailored to the task of learning sketch recognition from a training set of natural images.

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.