Scene Graph Generation
Leaderboards
| TREND | DATASET | BEST METHOD | PAPER TITLE | PAPER | CODE | COMPARE |
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Greatest papers with code
Graph R-CNN for Scene Graph Generation
ECCV 2018
• jwyang/graph-rcnn.pytorch
• 
We propose a novel scene graph generation model called Graph R-CNN, that is both effective and efficient at detecting objects and their relations in images.
#3 best model for
Scene Graph Generation
on Visual Genome
Scene Graph Generation from Objects, Phrases and Region Captions
Object detection, scene graph generation and region captioning, which are three scene understanding tasks at different semantic levels, are tied together: scene graphs are generated on top of objects detected in an image with their pairwise relationship predicted, while region captioning gives a language description of the objects, their attributes, relations, and other context information.
SOTA for Object Detection on Visual Genome
GRAPH GENERATION OBJECT DETECTION SCENE GRAPH GENERATION SCENE UNDERSTANDING
Unbiased Scene Graph Generation from Biased Training
• KaihuaTang/Scene-Graph-Benchmark.pytorch
•
Today's scene graph generation (SGG) task is still far from practical, mainly due to the severe training bias, e. g., collapsing diverse "human walk on / sit on / lay on beach" into "human on beach".
Learning to Compose Dynamic Tree Structures for Visual Contexts
CVPR 2019
• KaihuaTang/Scene-Graph-Benchmark.pytorch
•
We propose to compose dynamic tree structures that place the objects in an image into a visual context, helping visual reasoning tasks such as scene graph generation and visual Q&A.
SOTA for Visual Question Answering on VQA v2 (Percentage correct metric )
GRAPH GENERATION SCENE GRAPH GENERATION VISUAL QUESTION ANSWERING VISUAL REASONING
Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph Generation
ECCV 2018
• yikang-li/FactorizableNet
•
Generating scene graph to describe all the relations inside an image gains increasing interests these years.
SOTA for Scene Graph Generation on VRD
Knowledge-Embedded Routing Network for Scene Graph Generation
More specifically, we show that the statistical correlations between objects appearing in images and their relationships, can be explicitly represented by a structured knowledge graph, and a routing mechanism is learned to propagate messages through the graph to explore their interactions.
Scene Graph Generation by Iterative Message Passing
CVPR 2017
• shikorab/SceneGraph
• 
In this work, we explicitly model the objects and their relationships using scene graphs, a visually-grounded graphical structure of an image.
Pixels to Graphs by Associative Embedding
NeurIPS 2017
• nexusapoorvacus/DeepVariationStructuredRL
•
Graphs are a useful abstraction of image content.
The Limited Multi-Label Projection Layer
• locuslab/lml
•
We propose the Limited Multi-Label (LML) projection layer as a new primitive operation for end-to-end learning systems.
GPS-Net: Graph Property Sensing Network for Scene Graph Generation
• taksau/GPS-Net
•
There are three key properties of scene graph that have been underexplored in recent works: namely, the edge direction information, the difference in priority between nodes, and the long-tailed distribution of relationships.