Browse State-of-the-Art › Predicate Classification
Predicate Classification
11 papers with code · 0 benchmarks · 4 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
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
4 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.
Most implemented papers archive 2025-07-28
11 shown of 11 papers with code (22 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.
-
6 Feb 2023 2 repositories listedPanoptic Scene Graph (PSG) generation aims to generate scene graph representations based on panoptic segmentation instead of rigid bounding boxes.
-
22 Mar 2022 2 repositories listedScene graph generation (SGG) is designed to extract (subject, predicate, object) triplets in images.
-
27 Mar 2021 2 repositories listedScene graphs are a compact and explicit representation successfully used in a variety of 2D scene understanding tasks.
-
30 Oct 2024 1 repository listedBased on our proposed representation, we introduce the task of situational scene graph generation and propose a multi-stage pipeline Interactive and Complementary Network (InComNet) to address the task.
-
21 Nov 2023 1 repository listedThis work introduces an enhanced approach to generating scene graphs by incorporating both a relationship hierarchy and commonsense knowledge.
-
13 Mar 2023 1 repository listed Syntology ran 1 of 2 samples · 1 unverifiedThis paper presents a finding that leveraging the hierarchical structures among labels for relationships and objects can substantially improve the performance of scene graph generation systems.
-
6 Apr 2022 1 repository listed Syntology ran 9 of 10 samples · 1 unverified · 10 pointer-only (licence)The performance of current Scene Graph Generation models is severely hampered by some hard-to-distinguish predicates, e.
-
17 Mar 2022 1 repository listedScene graph generation is a sophisticated task because there is no specific recognition pattern (e.
-
8 Dec 2021 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)To this end, we propose a new classification-then-grounding framework for VidSGG, which can avoid all the three overlooked drawbacks.
-
16 Jun 2021 1 repository listedTo quantify how much LOGIN is aware of relational direction, a new diagnostic task called Bidirectional Relationship Classification (BRC) is also proposed.
-
29 Mar 2021 1 repository listed Syntology ran 1 of 5 samples · 4 unverifiedIn this work, we propose visual distant supervision, a novel paradigm of visual relation learning, which can train scene graph models without any human-labeled data.
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.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections