Browse State-of-the-Art › Mitigating Contextual Bias
Mitigating Contextual Bias
4 papers with code · 1 benchmark · 1 dataset archive 2025-07-28
The contextual bias split of the Aircraft dataset was constructed by Dunlap et al. [https://arxiv.org/abs/2305.16289]. The split uses two visually similar classes: Boeing-767 and Airbus-322. Each image in this split is categorized as “sky”, “grass”, or “road” depending on its background, with ambiguous examples filtered out. The bias in the dataset is introduced by training on 400 samples where Airbus aircraft are exclusively associated with road backgrounds and Boeing aircraft with grass backgrounds, although both types may appear against sky backgrounds.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
1 leaderboard table shown for this task, 1 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.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| FGVC Aircraft (4 rows) | CAL + SaSPA | Advancing Fine-Grained Classification by Structure and Subject... | code | Syntology ran 0 of 1 samples · 1 unverified | Compare |
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
1 dataset 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
4 shown of 4 papers with code (4 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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20 Jun 2024 1 repository listed Syntology ran 0 of 1 samples · 1 unverifiedWhile these models have been used to generate training data for classification tasks, their effectiveness in full-dataset training of FGVC models remains under-explored.
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28 Mar 2024 1 repository listed Syntology ran 6 of 7 samples · 1 unverifiedNeural networks trained on biased datasets tend to inadvertently learn spurious correlations, hindering generalization.
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22 May 2023 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)Diffusion models have recently achieved astonishing performance in generating high-fidelity photo-realistic images.
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19 Aug 2021 1 repository listed Syntology ran 8 of 11 samples · 3 unverifiedUnlike most existing methods that learn visual attention based on conventional likelihood, we propose to learn the attention with counterfactual causality, which provides a tool to measure the attention quality and a…
Syntology lines on 4 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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