Unbiased Scene Graph Generation
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Benchmarks
Visual Genome
Most implemented
Unbiased Scene Graph Generation from Biased Training
Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation
Fine-Grained Scene Graph Generation with Data Transfer
Semantic Diversity-aware Prototype-based Learning for Unbiased Scene Graph Generation
Head-Tail Cooperative Learning Network for Unbiased Scene Graph Generation
Vision Relation Transformer for Unbiased Scene Graph Generation
Papers
SGG-R$^{\rm 3}$: From Next-Token Prediction to End-to-End Unbiased Scene Graph Generation
Scene Graph Generation (SGG) structures visual scenes as graphs of objects and their relations. While Multimodal Large Language Models (MLLMs) have advanced end-to-end SGG, current methods are hindered by both a lack of …
Unbiased Scene Graph GenerationReinforcement LearningSalience-SGG: Enhancing Unbiased Scene Graph Generation with Iterative Salience Estimation
Scene Graph Generation (SGG) suffers from a long-tailed distribution, where a few predicate classes dominate while many others are underrepresented, leading to biased models that underperform on rare relations. Unbiased-…
Unbiased Scene Graph GenerationUnbiased Scene Graph Generation by Type-Aware Message Passing on Heterogeneous and Dual Graphs
Although great progress has been made in the research of unbiased scene graph generation, issues still hinder improving the predictive performance of both head and tail classes. An unbiased scene graph generation (TA-HDG…
graph constructionGraph GenerationScene Graph GenerationUnbiased Scene Graph GenerationEnsemble Predicate Decoding for Unbiased Scene Graph Generation
Scene Graph Generation (SGG) aims to generate a comprehensive graphical representation that accurately captures the semantic information of a given scenario. However, the SGG model's performance in predicting more fine-g…
Graph GenerationScene Graph GenerationUnbiased Scene Graph GenerationSemantic Diversity-aware Prototype-based Learning for Unbiased Scene Graph Generation
The scene graph generation (SGG) task involves detecting objects within an image and predicting predicates that represent the relationships between the objects. However, in SGG benchmark datasets, each subject-object pai…
DiversityGraph GenerationScene Graph GenerationUnbiased Scene Graph GenerationALF: Adaptive Label Finetuning for Scene Graph Generation
Scene Graph Generation (SGG) endeavors to predict the relationships between subjects and objects in a given image. Nevertheless, the long-tail distribution of relations often leads to biased prediction on coarse labels, …
Graph GenerationRelationScene Graph GenerationUnbiased Scene Graph Generation