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Unbiased Scene Graph Generation

Unbiased Scene Graph Generation (Unbiased SGG) aims to predict more informative scene graphs composed of more "tail predicates" *(in contrast to "head predicates" in terms of class frequencies) by dealing with the skewed, long-tailed predicate class distribution. (Definition from Chiou et al. "Recovering the Unbiased Scene Graphs from the Biased Ones")

Papers

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Showing 1–10 of 30 papers

TitleStatusHype
Unbiased Scene Graph Generation by Type-Aware Message Passing on Heterogeneous and Dual Graphs—0
Ensemble Predicate Decoding for Unbiased Scene Graph Generation—0
Semantic Diversity-aware Prototype-based Learning for Unbiased Scene Graph GenerationCode1
ALF: Adaptive Label Finetuning for Scene Graph Generation—0
FloCoDe: Unbiased Dynamic Scene Graph Generation with Temporal Consistency and Correlation Debiasing—0
Head-Tail Cooperative Learning Network for Unbiased Scene Graph GenerationCode0
Vision Relation Transformer for Unbiased Scene Graph GenerationCode1
Compositional Feature Augmentation for Unbiased Scene Graph GenerationCode1
Generalized Unbiased Scene Graph Generation—0
Unbiased Scene Graph Generation via Two-stage Causal Modeling—0
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