SOTAVerified

Scene Graph Generation

A scene graph is a structured representation of an image, where nodes in a scene graph correspond to object bounding boxes with their object categories, and edges correspond to their pairwise relationships between objects. The task of Scene Graph Generation is to generate a visually-grounded scene graph that most accurately correlates with an image.

Source: Scene Graph Generation by Iterative Message Passing

Papers

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Showing 51–100 of 318 papers

TitleStatusHype
Ensemble Predicate Decoding for Unbiased Scene Graph Generation—0
Towards Flexible Visual Relationship Segmentation—0
Voxel Scene Graph for Intracranial HemorrhageCode0
SANGRIA: Surgical Video Scene Graph Optimization for Surgical Workflow Prediction—0
Fine-Grained Scene Graph Generation via Sample-Level Bias PredictionCode0
BCTR: Bidirectional Conditioning Transformer for Scene Graph Generation—0
Semantic Diversity-aware Prototype-based Learning for Unbiased Scene Graph GenerationCode1
OpenPSG: Open-set Panoptic Scene Graph Generation via Large Multimodal ModelsCode1
A Fair Ranking and New Model for Panoptic Scene Graph GenerationCode1
From Easy to Hard: Learning Curricular Shape-aware Features for Robust Panoptic Scene Graph Generation—0
ESGNN: Towards Equivariant Scene Graph Neural Network for 3D Scene Understanding—0
Enhanced Data Transfer Cooperating with Artificial Triplets for Scene Graph Generation—0
SkySenseGPT: A Fine-Grained Instruction Tuning Dataset and Model for Remote Sensing Vision-Language UnderstandingCode2
STAR: A First-Ever Dataset and A Large-Scale Benchmark for Scene Graph Generation in Large-Size Satellite ImageryCode2
ReCon1M:A Large-scale Benchmark Dataset for Relation Comprehension in Remote Sensing Imagery—0
Semantic Similarity Score for Measuring Visual Similarity at Semantic Level—0
Leveraging Predicate and Triplet Learning for Scene Graph GenerationCode1
CYCLO: Cyclic Graph Transformer Approach to Multi-Object Relationship Modeling in Aerial Videos—0
OED: Towards One-stage End-to-End Dynamic Scene Graph GenerationCode1
REACT: Real-time Efficiency and Accuracy Compromise for Tradeoffs in Scene Graph GenerationCode2
Scene Graph Generation Strategy with Co-occurrence Knowledge and Learnable Term Frequency—0
4D Panoptic Scene Graph GenerationCode3
A Review and Efficient Implementation of Scene Graph Generation MetricsCode1
Tri-modal Confluence with Temporal Dynamics for Scene Graph Generation in Operating Rooms—0
AUG: A New Dataset and An Efficient Model for Aerial Image Urban Scene Graph Generation—0
ORacle: Large Vision-Language Models for Knowledge-Guided Holistic OR Domain ModelingCode1
SportsHHI: A Dataset for Human-Human Interaction Detection in Sports VideosCode1
Weakly-Supervised 3D Scene Graph Generation via Visual-Linguistic Assisted Pseudo-labelingCode0
EGTR: Extracting Graph from Transformer for Scene Graph GenerationCode2
From Pixels to Graphs: Open-Vocabulary Scene Graph Generation with Vision-Language ModelsCode2
Groupwise Query Specialization and Quality-Aware Multi-Assignment for Transformer-based Visual Relationship DetectionCode1
R3CD: Scene Graph to Image Generation with Relation-aware Compositional Contrastive Control Diffusion—0
Predicate Debiasing in Vision-Language Models Integration for Scene Graph Generation Enhancement—0
DSGG: Dense Relation Transformer for an End-to-end Scene Graph GenerationCode0
HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph GenerationCode2
Mapping High-level Semantic Regions in Indoor Environments without Object Recognition—0
Towards Scene Graph AnticipationCode1
S^2Former-OR: Single-Stage Bi-Modal Transformer for Scene Graph Generation in ORCode0
Towards Lifelong Scene Graph Generation with Knowledge-ware In-context Prompt Learning—0
SGTR+: End-to-end Scene Graph Generation with TransformerCode2
TD^2-Net: Toward Denoising and Debiasing for Dynamic Scene Graph Generation—0
Adaptive Self-training Framework for Fine-grained Scene Graph GenerationCode1
Joint Generative Modeling of Scene Graphs and Images via Diffusion Models—0
CLIP-Driven Open-Vocabulary 3D Scene Graph Generation via Cross-Modality Contrastive Learning—0
Contextual Associated Triplet Queries for Panoptic Scene Graph Generation—0
ALF: Adaptive Label Finetuning for Scene Graph Generation—0
Indoor and Outdoor 3D Scene Graph Generation via Language-Enabled Spatial Ontologies—0
GPT4SGG: Synthesizing Scene Graphs from Holistic and Region-specific NarrativesCode0
HIG: Hierarchical Interlacement Graph Approach to Scene Graph Generation in Video Understanding—0
HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group Activity Scene Graph Generation in Videos—0
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All datasetsVisual Genome4D-OR3R-ScanVRDGQAMM-ORMS-COCO

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ExpressiveSGGR@10039.12—Unverified
2NeuSyRER@10039.1—Unverified
3KnowZRelzR@10035.65—Unverified
4SpeaQ (without reweighting)Recall@5032.9—Unverified
5SpeaQ (with reweighting)Recall@5032.1—Unverified
6Causal-TDERecall@5031.93—Unverified
7SG-EBMRecall@5031.74—Unverified
8GPS-NetRecall@5028.9—Unverified
9LOGINRecall@5028.2—Unverified
10VCTreeRecall@5027.9—Unverified
#ModelMetricClaimedVerifiedStatus
1ORacleF10.91—Unverified
2MM2SGF10.9—Unverified
3Pix2SGF10.9—Unverified
4LABRAD-ORF10.88—Unverified
54D-OR baselineF10.75—Unverified
#ModelMetricClaimedVerifiedStatus
1SceneGraphFusionTop-5 Accuracy0.87—Unverified
23DSSG [Wald2020_3dssg]Top-5 Accuracy0.66—Unverified
#ModelMetricClaimedVerifiedStatus
1FactorizableNetRecall@5018.32—Unverified
2VRDRecall@5018.16—Unverified
#ModelMetricClaimedVerifiedStatus
1KnowZRelzR@10029.56—Unverified
#ModelMetricClaimedVerifiedStatus
1MM2SGMacro F10.53—Unverified
#ModelMetricClaimedVerifiedStatus
1NeuSyRER@10038.5—Unverified