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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–75 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
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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