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 201–225 of 318 papers

TitleStatusHype
SANGRIA: Surgical Video Scene Graph Optimization for Surgical Workflow Prediction—0
Scalable Regularization of Scene Graph Generation Models using Symbolic Theories—0
Counterfactual Critic Multi-Agent Training for Scene Graph Generation—0
Unbiased Scene Graph Generation by Type-Aware Message Passing on Heterogeneous and Dual Graphs—0
Scene Graph Generation: A Comprehensive Survey—0
A Causal Adjustment Module for Debiasing Scene Graph Generation—0
BGT-Net: Bidirectional GRU Transformer Network for Scene Graph Generation—0
Scene Graph Generation for Better Image Captioning?—0
VidCoM: Fast Video Comprehension through Large Language Models with Multimodal Tools—0
Learning Predicates as Functions to Enable Few-shot Scene Graph Prediction—0
Bridging Scene Understanding and Task Execution with Flexible Simulation Environments—0
Context-aware Mixture-of-Experts for Unbiased Scene Graph Generation—0
CAT-SG: A Large Dynamic Scene Graph Dataset for Fine-Grained Understanding of Cataract Surgery—0
CLIP-Driven Open-Vocabulary 3D Scene Graph Generation via Cross-Modality Contrastive Learning—0
Scene Graph Generation Strategy with Co-occurrence Knowledge and Learnable Term Frequency—0
Commonsense Reasoning for Identifying and Understanding the Implicit Need of Help and Synthesizing Assistive Actions—0
Scene Graph Generation via Conditional Random Fields—0
Conformal Prediction and MLLM aided Uncertainty Quantification in Scene Graph Generation—0
Constrained Structure Learning for Scene Graph Generation—0
Scene Graph Generation with External Knowledge and Image Reconstruction—0
ALF: Adaptive Label Finetuning for Scene Graph Generation—0
Contextual Associated Triplet Queries for Panoptic Scene Graph Generation—0
CoPa-SG: Dense Scene Graphs with Parametric and Proto-Relations—0
FloCoDe: Unbiased Dynamic Scene Graph Generation with Temporal Consistency and Correlation Debiasing—0
Counterfactual Thinking for Long-tailed Information Extraction—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