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 226–250 of 318 papers

TitleStatusHype
Self-Supervised Relation Alignment for Scene Graph Generation—0
DDS: Decoupled Dynamic Scene-Graph Generation Network—0
Fast Contextual Scene Graph Generation With Unbiased Context Augmentation—0
IS-GGT: Iterative Scene Graph Generation With Generative Transformers—0
Skew Class-balanced Re-weighting for Unbiased Scene Graph GenerationCode0
Peer Learning for Unbiased Scene Graph Generation—0
SrTR: Self-reasoning Transformer with Visual-linguistic Knowledge for Scene Graph Generation—0
Iterative Scene Graph Generation with Generative Transformers—0
SGDraw: Scene Graph Drawing Interface Using Object-Oriented RepresentationCode0
An Enhanced Object Detection Model for Scene Graph Generation—0
SG-Shuffle: Multi-aspect Shuffle Transformer for Scene Graph Generation—0
SGRAM: Improving Scene Graph Parsing via Abstract Meaning Representation—0
Explore Contextual Information for 3D Scene Graph Generation—0
Unbiased Scene Graph Generation using Predicate Similarities—0
Scalable Regularization of Scene Graph Generation Models using Symbolic Theories—0
Towards Open-vocabulary Scene Graph Generation with Prompt-based Finetuning—0
Context-aware Mixture-of-Experts for Unbiased Scene Graph Generation—0
Label Semantic Knowledge Distillation for Unbiased Scene Graph Generation—0
Rethinking the Evaluation of Unbiased Scene Graph Generation—0
Iterative Scene Graph Generation—0
NICEST: Noisy Label Correction and Training for Robust Scene Graph Generation—0
Meta Spatio-Temporal Debiasing for Video Scene Graph Generation—0
Adaptive Fine-Grained Predicates Learning for Scene Graph Generation—0
Learning Structured Representations of Visual Scenes—0
Learning To Generate Scene Graph from Head to Tail—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