Scene Graph Detection
4 papers with code • 3 benchmarks • 4 datasets
Benchmarks
These leaderboards are used to track progress in Scene Graph Detection
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
|
|||||
|
|||||
|
Visual Genome
VRD
ImageCLEF-DA
Home Action Genome
Most implemented papers
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.
Recovering the Unbiased Scene Graphs from the Biased Ones
coldmanck/recovering-unbiased-scene-graphs
•
•
Given input images, scene graph generation (SGG) aims to produce comprehensive, graphical representations describing visual relationships among salient objects.
Exploiting Long-Term Dependencies for Generating Dynamic Scene Graphs
Dynamic scene graph generation from a video is challenging due to the temporal dynamics of the scene and the inherent temporal fluctuations of predictions.
Fine-Grained Scene Graph Generation with Data Transfer
waxnkw/ietrans-sgg.pytorch
•
•
Scene graph generation (SGG) is designed to extract (subject, predicate, object) triplets in images.
