Browse State-of-the-Art › Relationship Detection
Relationship Detection
32 papers with code · 0 benchmarks · 1 dataset 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
1 dataset whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
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Most implemented papers archive 2025-07-28
30 shown of 32 papers with code (86 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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7 Mar 2019 3 repositories listed Syntology ran 0 of 6 samples · 6 unverifiedThe first, Entity Instance Confusion, occurs when the model confuses multiple instances of the same type of entity (e.
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20 Nov 2021 2 repositories listed Syntology ran 0 of 1 samples · 1 unverifiedFurthermore, background knowledge represented by RWFNs can be used to alleviate the incompleteness of training sets even though the space complexity of RWFNs is much smaller than LTNs (1:27 ratio).
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21 Nov 2020 2 repositories listedDespite being widely used as a performance measure for visual detection tasks, Average Precision (AP) is limited in (i) reflecting localisation quality, (ii) interpretability and (iii) robustness to the design choices…
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1 Oct 2019 2 repositories listedThis requires the detection of visual relationships: triples (subject, relation, object) describing a semantic relation between a subject and an object.
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27 Apr 2018 2 repositories listed Syntology ran 1 of 1 samples · 0 unverifiedLarge scale visual understanding is challenging, as it requires a model to handle the widely-spread and imbalanced distribution of <subject, relation, object> triples.
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10 May 2025 1 repository listedIn this paper, we propose Mutual EnhancemenT of Objects and Relationships (METOR), a query-based unified framework to jointly model and mutually enhance object detection and relationship classification in…
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26 Mar 2024 1 repository listed Syntology ran 1 of 3 samples · 2 unverified · 3 pointer-only (licence)Groupwise Query Specialization trains a specialized query by dividing queries and relations into disjoint groups and directing a query in a specific query group solely toward relations in the corresponding relation…
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6 Mar 2024 1 repository listedSecondly, classifiers trained by a single, monolithic neural network often lack stability and generalization.
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8 Nov 2023 1 repository listedWe present a novel self-supervised approach for representation learning, particularly for the task of Visual Relationship Detection (VRD).
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13 Sep 2023 1 repository listedIn addition to spatial relations, we also propose 50K visual depictions across 10 temporal relations, consisting of videos depicting event/time-point interactions.
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16 Mar 2023 1 repository listedTo address this challenge, we propose UniVRD, a novel bottom-up method for Unified Visual Relationship Detection by leveraging vision and language models (VLMs).
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23 Aug 2022 1 repository listed Syntology ran 0 of 4 samples · 4 unverifiedIn this work, (1) we propose a novel three-decoder architecture as the infrastructure for focused attention; 2) we use the generalized intersection box prediction task to effectively guide our model to focus on…
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8 Aug 2022 1 repository listed Syntology ran 3 of 4 samples · 1 unverified · 3 pointer-only (licence)Visual relationship detection aims to detect the interactions between objects in an image; however, this task suffers from combinatorial explosion due to the variety of objects and interactions.
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27 Jul 2021 1 repository listedThere is a surge of interest in image scene graph generation (object, attribute and relationship detection) due to the need of building fine-grained image understanding models that go beyond object detection.
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26 Apr 2021 1 repository listedTo enable progress on this task, we create a new dataset consisting of 220k human-annotated 2.
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1 Jan 2021 1 repository listedScene Graph Generators (SGGs) are models that, given an image, build a directed graph where each edge represents a predicted subject predicate object triplet.
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17 Dec 2020 1 repository listedAnalyzing the interactions between humans and objects from a video includes identification of the relationships between humans and the objects present in the video.
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10 Sep 2020 1 repository listedVisual relationship detection aims to reason over relationships among salient objects in images, which has drawn increasing attention over the past few years.
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16 Jun 2020 1 repository listedVisual relationship detection is fundamental for holistic image understanding.
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16 Mar 2020 1 repository listedTo address this problem, we propose an attention based model, namely AVR, to achieve salient visual relationships based on both local and global context of the relationships.
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14 Jan 2020 1 repository listedDetected objects, their labels and the discovered relations can be used to construct a scene graph which provides an abstract semantic interpretation of an image.
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2 Nov 2019 1 repository listedVisual relationship detection, as a challenging task used to find and distinguish the interactions between object pairs in one image, has received much attention recently.
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2 May 2019 1 repository listedWe argue that depth maps can additionally provide valuable information on object relations, e.
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16 Apr 2019 1 repository listedVisual relationship detection is an intermediate image understanding task that detects two objects and classifies a predicate that explains the relationship between two objects in an image.
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15 Feb 2019 1 repository listedDetecting visual relationships, i.
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BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection31 Jan 2019 1 repository listed Syntology ran 0 of 2 samples · 2 unverifiedWe demonstrate the practical interest of our fusion model by using BLOCK for two challenging tasks: Visual Question Answering (VQA) and Visual Relationship Detection (VRD), where we design end-to-end learnable…
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2 Nov 2018 1 repository listedWe present Open Images V4, a dataset of 9.
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29 Jun 2018 1 repository listedGenerating scene graph to describe all the relations inside an image gains increasing interests these years.
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27 Apr 2018 1 repository listedIn this paper, we propose a novel framework, called Deep Structural Ranking, for visual relationship detection.
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1 Oct 2017 1 repository listedThe proposed method still builds one classifier for one interaction (as per type (ii) above), but the classifier built is adaptive to context via weights which are context dependent.
Syntology lines on 7 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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