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

Showing 176200 of 318 papers

TitleStatusHype
SG-Shuffle: Multi-aspect Shuffle Transformer for Scene Graph Generation0
SGRAM: Improving Scene Graph Parsing via Abstract Meaning Representation0
Explore Contextual Information for 3D Scene Graph Generation0
Unbiased Scene Graph Generation using Predicate Similarities0
Scalable Regularization of Scene Graph Generation Models using Symbolic Theories0
Towards Open-vocabulary Scene Graph Generation with Prompt-based Finetuning0
Context-aware Mixture-of-Experts for Unbiased Scene Graph Generation0
Label Semantic Knowledge Distillation for Unbiased Scene Graph Generation0
Integrating Object-aware and Interaction-aware Knowledge for Weakly Supervised Scene Graph GenerationCode1
Rethinking the Evaluation of Unbiased Scene Graph Generation0
NICEST: Noisy Label Correction and Training for Robust Scene Graph Generation0
Iterative Scene Graph Generation0
Meta Spatio-Temporal Debiasing for Video Scene Graph Generation0
Panoptic Scene Graph GenerationCode2
BusyBot: Learning to Interact, Reason, and Plan in a BusyBoard EnvironmentCode1
Dual-branch Hybrid Learning Network for Unbiased Scene Graph GenerationCode1
Adaptive Fine-Grained Predicates Learning for Scene Graph Generation0
Learning Structured Representations of Visual Scenes0
Learning To Generate Scene Graph from Head to Tail0
Doubly Reparameterized Importance Weighted Structure Learning for Scene Graph Generation0
The Devil is in the Labels: Noisy Label Correction for Robust Scene Graph GenerationCode1
Expressive Scene Graph Generation Using Commonsense Knowledge Infusion for Visual Understanding and ReasoningCode1
GraphMapper: Efficient Visual Navigation by Scene Graph Generation0
Importance Weighted Structure Learning for Scene Graph Generation0
HL-Net: Heterophily Learning Network for Scene Graph GenerationCode1
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Benchmark Results

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