Unsupervised Object Localization

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 (11 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.

• PEEKABOO: Hiding parts of an image for unsupervised object localization
  24 Jul 2024 1 repository listed
  Localizing objects in an unsupervised manner poses significant challenges due to the absence of key visual information such as the appearance, type and number of objects, as well as the lack of labeled object classes…
• Unsupervised Object Localization in the Era of Self-Supervised ViTs: A Survey
  19 Oct 2023 1 repository listed
  We propose here a survey of unsupervised object localization methods that discover objects in images without requiring any manual annotation in the era of self-supervised ViTs.
• CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-Free
  25 Sep 2023 1 repository listed Syntology ran 7 of 7 samples · 0 unverified · 7 pointer-only (licence)
  The emergence of CLIP has opened the way for open-world image perception.
• Unsupervised Object Localization with Representer Point Selection
  8 Sep 2023 1 repository listed
  We propose a novel unsupervised object localization method that allows us to explain the predictions of the model by utilizing self-supervised pre-trained models without additional finetuning.
• Optical Flow boosts Unsupervised Localization and Segmentation
  25 Jul 2023 1 repository listed
  Our fine-tuning procedure outperforms state-of-the-art techniques for unsupervised semantic segmentation through linear probing, without the use of any labeled data.
• Unsupervised Object Localization: Observing the Background to Discover Objects
  15 Dec 2022 1 repository listed Syntology ran 3 of 16 samples · 13 unverified
  This way, the salient objects emerge as a by-product without any strong assumption on what an object should be.
• DeepCut: Unsupervised Segmentation using Graph Neural Networks Clustering
  12 Dec 2022 1 repository listed Syntology ran 4 of 8 samples · 4 unverified
  This direct connection between the raw features and the clustering objective enables us to implicitly perform classification of the clusters between different graphs, resulting in part semantic segmentation without the…

Syntology lines on 3 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.