Browse > Computer Vision > Scene Parsing > Scene Graph Generation

Scene Graph Generation

11 papers with code · Computer Vision
Subtask of Scene Parsing

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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.

GRAPH GENERATION SCENE GRAPH GENERATION

Scene Graph Generation from Objects, Phrases and Region Captions

ICCV 2017 yikang-li/MSDN

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.

GRAPH GENERATION OBJECT DETECTION SCENE GRAPH GENERATION SCENE UNDERSTANDING

Unbiased Scene Graph Generation from Biased Training

27 Feb 2020KaihuaTang/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".

CAUSAL INFERENCE GRAPH GENERATION SCENE GRAPH GENERATION

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

Knowledge-Embedded Routing Network for Scene Graph Generation

CVPR 2019 yuweihao/KERN

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.

GRAPH GENERATION SCENE GRAPH GENERATION

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.

GRAPH GENERATION SCENE GRAPH GENERATION

The Limited Multi-Label Projection Layer

20 Jun 2019locuslab/lml

We propose the Limited Multi-Label (LML) projection layer as a new primitive operation for end-to-end learning systems.

GRAPH GENERATION SCENE GRAPH GENERATION

GPS-Net: Graph Property Sensing Network for Scene Graph Generation

29 Mar 2020taksau/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.

GRAPH GENERATION SCENE GRAPH GENERATION