Scene graph is a structured representation of a scene that can clearly express the objects,
attributes, and relationships between objects in the scene. As computer vision technology …

Deep learning techniques have led to remarkable breakthroughs in the field of generic
object detection and have spawned a lot of scene-understanding tasks in recent years …

Abstract We present the All-Seeing Project V2: a new model and dataset designed for
understanding object relations in images. Specifically, we propose the All-Seeing Model V2 …

Existing research addresses scene graph generation (SGG)—a critical technology for scene
understanding in images—from a detection perspective, ie., objects are detected using …

Introduction When it comes to interpreting visual input, intelligent systems make use of
contextual scene learning, which significantly improves both resilience and context …

Significant effort has been recently devoted to modeling visual relations. This has mostly
addressed the design of architectures, typically by adding parameters and increasing model …

The scene graph generation (SGG) task aims to detect visual relationship triplets, ie, subject,
predicate, object, in an image, providing a structural vision layout for scene understanding …

Scene graph generation is an important task in computer vision aimed at improving the
semantic understand-ing of the visual world. In this task, the model needs to detect objects …

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

This paper presents a fully convolutional scene graph generation (FCSGG) model that
detects objects and relations simultaneously. Most of the scene graph generation …