Browse > Computer Vision > Scene Parsing > Scene Graph Generation

Scene Graph Generation

8 papers with code ยท Computer Vision
Subtask of Scene Parsing

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Latest papers without code

Scene Graph Generation With External Knowledge and Image Reconstruction

CVPR 2019

Scene graph generation has received growing attention with the advancements in image understanding tasks such as object detection, attributes and relationship prediction, etc.

GRAPH GENERATION IMAGE RECONSTRUCTION OBJECT DETECTION SCENE GRAPH GENERATION

Attentive Relational Networks for Mapping Images to Scene Graphs

CVPR 2019

Scene graph generation refers to the task of automatically mapping an image into a semantic structural graph, which requires correctly labeling each extracted object and their interaction relationships.

GRAPH GENERATION OBJECT DETECTION SCENE GRAPH GENERATION

Knowledge-Embedded Routing Network for Scene Graph Generation

CVPR 2019

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

Learning to Compose Dynamic Tree Structures for Visual Contexts

CVPR 2019

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.

GRAPH GENERATION SCENE GRAPH GENERATION VISUAL QUESTION ANSWERING VISUAL REASONING

Exploring Context and Visual Pattern of Relationship for Scene Graph Generation

CVPR 2019

Therefore, inspired by the successful application of context to object-oriented tasks, we especially construct context for relationships where all of them are gathered so that the recognition could benefit from their association.

GRAPH GENERATION OBJECT RECOGNITION SCENE GRAPH GENERATION

Union Visual Translation Embedding for Visual Relationship Detection and Scene Graph Generation

28 May 2019

Due to the combinatorial complexity of modeling (subject, predicate, object) relation triplets, it is crucial to develop a method that can not only recognize seen relations, but also generalize well to unseen cases.

GRAPH GENERATION SCENE GRAPH GENERATION

Scene Graph Generation with External Knowledge and Image Reconstruction

CVPR 2019

Scene graph generation has received growing attention with the advancements in image understanding tasks such as object detection, attributes and relationship prediction,~\etc.

GRAPH GENERATION IMAGE RECONSTRUCTION OBJECT DETECTION SCENE GRAPH GENERATION

Visual Semantic Information Pursuit: A Survey

13 Mar 2019

Since it helps to enhance the accuracy and the consistency of the resulting interpretation, visual context reasoning is often incorporated with visual perception in current deep end-to-end visual semantic information pursuit methods.

GRAPH GENERATION OBJECT DETECTION SCENE GRAPH GENERATION SEMANTIC SEGMENTATION

Graphical Contrastive Losses for Scene Graph Parsing

CVPR 2019

The first, Entity Instance Confusion, occurs when the model confuses multiple instances of the same type of entity (e. g. multiple cups).

SCENE GRAPH GENERATION

VrR-VG: Refocusing Visually-Relevant Relationships

1 Feb 2019

Relationships encode the interactions among individual instances, and play a critical role in deep visual scene understanding.

IMAGE CAPTIONING QUESTION ANSWERING SCENE GRAPH GENERATION SCENE UNDERSTANDING VISUAL QUESTION ANSWERING