IEEE

Improving Open-World Class-Agnostic Object Detectors via Feature Distillation with Student-Aware Adaptation

Abstract: Open-world class-agnostic object detection aims to localize all objects in images regardless of whether their categories are known during training. Most existing studies focus on unannotated ...
IEEE

State-of-the-Art Object Detection: An Overview of YOLO Variants and their Performance

Abstract: A fundamental component of computer vision is object detection, and the state-of-the-art object detection algorithm YOLO (You Only Look Once), which uses regression as its foundation has ...