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 …

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

Scene Graph Generation (SGG) aims to detect the objects and their pairwise predicates in
an image. Existing SGG methods mainly fulfil the challenging predicate prediction task that …

The quality of scene graphs generated by the state-of-the-art (SOTA) models is
compromised due to the long-tail nature of the relationships and their parent object pairs …

To semantically understand remote sensing images, it is not only necessary to detect the
objects in them but also to recognize the semantic relationships between the instances …

Accurately reasoning about the relationship between objects play a central role in scene
understanding. Due to the complexity of modeling visual relationships and the unbalanced …

The scene graph can provide a structured representation for downstream tasks given an
image. To generate a fine-grained one, many researchers have attempted to alleviate the …

As an important component of visual scene, visual relationship has received extensive
attention in recent years. Most existing works directly utilize the rough visual appearance to …