SOTAVerified

Visual Relationship Detection

Visual relationship detection (VRD) is one newly developed computer vision task aiming to recognize relations or interactions between objects in an image. It is a further learning task after object recognition and is essential for fully understanding images, even the visual world.

Papers

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Showing 1–50 of 82 papers

TitleStatusHype
Groupwise Query Specialization and Quality-Aware Multi-Assignment for Transformer-based Visual Relationship DetectionCode1
Distance-Aware Occlusion Detection with Focused AttentionCode1
Neural Message Passing for Visual Relationship DetectionCode1
PEVL: Position-enhanced Pre-training and Prompt Tuning for Vision-language ModelsCode1
Spatial-Temporal Transformer for Dynamic Scene Graph GenerationCode1
Recovering the Unbiased Scene Graphs from the Biased OnesCode1
2.5D Visual Relationship DetectionCode1
RelTransformer: A Transformer-Based Long-Tail Visual Relationship RecognitionCode1
Grounding Consistency: Distilling Spatial Common Sense for Precise Visual Relationship DetectionCode1
LIGHTEN: Learning Interactions with Graph and Hierarchical TEmporal Networks for HOI in videosCode1
One Metric to Measure them All: Localisation Recall Precision (LRP) for Evaluating Visual Detection TasksCode1
Visual Relationship Detection with Visual-Linguistic Knowledge from Multimodal RepresentationsCode1
Explanation-based Weakly-supervised Learning of Visual Relations with Graph NetworksCode1
Exploring Long Tail Visual Relationship Recognition with Large VocabularyCode1
NODIS: Neural Ordinary Differential Scene UnderstandingCode1
Compensating Supervision Incompleteness with Prior Knowledge in Semantic Image InterpretationCode1
Graphical Contrastive Losses for Scene Graph ParsingCode1
METOR: A Unified Framework for Mutual Enhancement of Objects and Relationships in Open-vocabulary Video Visual Relationship DetectionCode0
End-to-end Open-vocabulary Video Visual Relationship Detection using Multi-modal Prompting—0
Scene-Graph ViT: End-to-End Open-Vocabulary Visual Relationship Detection—0
Video Relationship Detection Using Mixture of ExpertsCode0
RelVAE: Generative Pretraining for few-shot Visual Relationship Detection—0
Self-Supervised Learning for Visual Relationship Detection through Masked Bounding Box ReconstructionCode0
STUPD: A Synthetic Dataset for Spatial and Temporal Relation ReasoningCode0
NeSy4VRD: A Multifaceted Resource for Neurosymbolic AI Research using Knowledge Graphs in Visual Relationship Detection—0
Unified Visual Relationship Detection with Vision and Language ModelsCode0
Image Semantic Relation Generation—0
Learning Structured Representations of Visual Scenes—0
VReBERT: A Simple and Flexible Transformer for Visual Relationship Detection—0
Scene Graph Generation: A Comprehensive Survey—0
A Probabilistic Graphical Model Based on Neural-Symbolic Reasoning for Visual Relationship Detection—0
Representing Prior Knowledge Using Randomly, Weighted Feature Networks for Visual Relationship DetectionCode0
BGT-Net: Bidirectional GRU Transformer Network for Scene Graph Generation—0
Image Scene Graph Generation (SGG) BenchmarkCode0
Visual Relationship Detection Using Part-and-Sum Transformers with Composite Queries—0
A Comprehensive Survey of Scene Graphs: Generation and Application—0
Towards Overcoming False Positives in Visual Relationship Detection—0
Visualization of Contributions to Open-Source ProjectsCode0
Constructing a Visual Relationship Authenticity DatasetCode0
Bounding-box Channels for Visual Relationship Detection—0
Hierarchical Graph Attention Network for Visual Relationship Detection—0
Fixed-size Objects Encoding for Visual Relationship Detection—0
Visual Relationship Detection using Scene Graphs: A Survey—0
CPARR: Category-based Proposal Analysis for Referring Relationships—0
ReLaText: Exploiting Visual Relationships for Arbitrary-Shaped Scene Text Detection with Graph Convolutional Networks—0
AVR: Attention based Salient Visual Relationship DetectionCode0
Deep Adaptive Semantic Logic (DASL): Compiling Declarative Knowledge into Deep Neural Networks—0
Visual Relationship Detection with Low Rank Non-Negative Tensor Decomposition—0
Visual Relationship Detection with Relative Location MiningCode0
Leveraging Auxiliary Text for Deep Recognition of Unseen Visual Relationships—0
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All datasetsVRD Relationship DetectionVRD Phrase DetectionVRD Predicate DetectionVisual GenomeVRD

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Yu et. al [[Yu et al.2017a]]R@10031.89—Unverified
2vrd-dsrR@10023.29—Unverified
3BLOCKR@10020.96—Unverified
4Dai et. al [[Dai, Zhang, and Lin2017]]R@10020.88—Unverified
5Liang et. al [[Liang, Lee, and Xing2017]]R@10020.79—Unverified
6Peyre et. al [[Peyre et al.2017]]R@10017.1—Unverified
7Zhang et. al [[Hanwang Zhang2017]]R@10015.2—Unverified
8Lu et. al [[Lu et al.2016]]R@10014.7—Unverified
#ModelMetricClaimedVerifiedStatus
1Yu et. al [[Yu et al.2017a]]R@10029.43—Unverified
2BLOCKR@10028.96—Unverified
3Dai et. al [[Dai, Zhang, and Lin2017]]R@10023.45—Unverified
4Liang et. al [[Liang, Lee, and Xing2017]]R@10022.6—Unverified
5Zhang et. al [[Hanwang Zhang2017]]R@10022.42—Unverified
6Peyre et. al [[Peyre et al.2017]]R@10019.5—Unverified
7Lu et. al [[Lu et al.2016]]R@10017.03—Unverified
#ModelMetricClaimedVerifiedStatus
1Yu et. al [[Yu et al.2017a]]R@10094.65—Unverified
2vrd-dsrR@10093.18—Unverified
3BLOCKR@10092.58—Unverified
4Dai et. al [[Dai, Zhang, and Lin2017]]R@10081.9—Unverified
5Peyre et. al [[Peyre et al.2017]]R@10052.6—Unverified
6Lu et. al [[Lu et al.2016]]R@10047.87—Unverified
7Zhang et. al [[Hanwang Zhang2017]]R@10044.76—Unverified
#ModelMetricClaimedVerifiedStatus
1PEVLR@10066.3—Unverified
#ModelMetricClaimedVerifiedStatus
1Ours - vR@50 k=115—Unverified