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 …

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 …

Humans can not only see the collection of objects in visual scenes, but also identify the
relationship between objects. The visual relationship in the scene can be abstracted into the …

Visual representation learning is ubiquitous in various real-world applications, including
visual comprehension, video understanding, multi-modal analysis, human-computer …

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 …

Although recent developments in deep learning have brought several tasks closer to human
performance, there is still a significant gap between human and machine performance in …

Accurate and automated segmentation of lesions in brain MRI scans is crucial in diagnostics
and treatment planning. Despite the significant achievements of existing approaches, they …

The aim of this paper is to improve the accuracy and efficiency of ground penetrating Radar
(GPR) detection of internal road surface disease images. Based on the YOLOv4 target …

Unbiased visual relation detection on long-tailed annotations is a critical challenge in scene
graph generation (SGG). Imbalanced learning aims to tackle the problem of class …