Scene Graph Classification

6 papers with code • 2 benchmarks • 2 datasets

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Most implemented papers

Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction

shikorab/SceneGraph NeurIPS 2018

Machine understanding of complex images is a key goal of artificial intelligence.

Energy-Based Learning for Scene Graph Generation

mods333/energy-based-scene-graph CVPR 2021

The proposed formulation allows for efficiently incorporating the structure of scene graphs in the output space.

Tackling the Challenges in Scene Graph Generation with Local-to-Global Interactions

sangminwoo/Local-to-Global-Interaction-Networks-SGG 16 Jun 2021

To quantify how much LOGIN is aware of relational direction, a new diagnostic task called Bidirectional Relationship Classification (BRC) is also proposed.

Recovering the Unbiased Scene Graphs from the Biased Ones

coldmanck/recovering-unbiased-scene-graphs 5 Jul 2021

Given input images, scene graph generation (SGG) aims to produce comprehensive, graphical representations describing visual relationships among salient objects.

Fine-Grained Scene Graph Generation with Data Transfer

waxnkw/ietrans-sgg.pytorch 22 Mar 2022

Scene graph generation (SGG) is designed to extract (subject, predicate, object) triplets in images.

HL-Net: Heterophily Learning Network for Scene Graph Generation

siml3/hl-net CVPR 2022

Despite their effectiveness, however, current SGG methods only assume scene graph homophily while ignoring heterophily.