Multi-label Image Recognition with Partial Labels

Description from the archive archive 2025-07-28.

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

8 shown of 8 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.

• Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition
  20 Aug 2019 2 repositories listed
  Recognizing multiple labels of images is a practical and challenging task, and significant progress has been made by searching semantic-aware regions and modeling label dependency.
• Texts as Images in Prompt Tuning for Multi-Label Image Recognition
  23 Nov 2022 1 repository listed
  Nonetheless, visual data (e.
• DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited Annotations
  20 Jun 2022 1 repository listed
  Solving multi-label recognition (MLR) for images in the low-label regime is a challenging task with many real-world applications.
• Dual-Perspective Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels
  26 May 2022 1 repository listed
  Specifically, an instance-perspective representation blending (IPRB) module is designed to blend the representations of the known labels in an image with the representations of the corresponding unknown labels in…
• Heterogeneous Semantic Transfer for Multi-label Recognition with Partial Labels
  23 May 2022 1 repository listed
  Multi-label image recognition with partial labels (MLR-PL), in which some labels are known while others are unknown for each image, may greatly reduce the cost of annotation and thus facilitate large-scale MLR.
• Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels
  4 Mar 2022 1 repository listed Syntology ran 6 of 7 samples · 1 unverified · 7 pointer-only (licence)
  However, these algorithms depend on sufficient multi-label annotations to train the models, leading to poor performance especially with low known label proportion.
• Structured Semantic Transfer for Multi-Label Recognition with Partial Labels
  21 Dec 2021 1 repository listed
  To reduce the annotation cost, we propose a structured semantic transfer (SST) framework that enables training multi-label recognition models with partial labels, i.
• Learning Graph Convolutional Networks for Multi-Label Recognition and Applications
  3 Mar 2021 1 repository listed
  The task of multi-label image recognition is to predict a set of object labels that present in an image.

Syntology lines on 1 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.