Out-of-distribution (OOD) detection aims to detect “unknown” data whose labels have not
been seen during the in-distribution (ID) training process. Recent progress in representation …

Human-Object Interaction (HOI) detection recognizes how persons interact with objects,
which is advantageous in autonomous systems such as self-driving vehicles and …

Recent works have shown that Vision Transformer models (ViT) can achieve comparable or
even superior performance on image-and region-level recognition tasks, ie, image …

Human-object interaction (HOI) detection plays a key role in high-level visual understanding,
facilitating a deep comprehension of human activities. Specifically, HOI detection aims to …

As a challenging computer vision task, Scene Graph Generation (SGG) finds the latent
semantic relationships among objects from a given image, which may be limited by the …

Introduction This study aimed to elucidate the relationship between interactions with
everyday objects (eg, stationery, clothing, and tools) and one's connectedness with nature …

As an important and challenging problem in computer vision, scene graph generation (SGG)
aims to find out the underlying semantic relationships among objects from a given image for …

As a challenging task in computer vision, Scene graph generation (SGG) aims to model the
underlying semantic relationships among objects in a given image for scene understanding …

Cameras are essential vision instruments to capture images for pattern detection and
measurement. Human–object interaction (HOI) detection is one of the most popular pattern …

Few-shot learning (FSL) for human-object interaction aims at classifying samples of new
unseen HOI classes with only a few labeled samples available. Although progress has been …