Abstract: Bounding Box Regression (BBR) plays a critical role in object detection by refining the predicted location and size of objects to enhance model accuracy. This process involves adjusting the ...

Abstract: In this work, we introduce a countermeasure method to neutralize the impact of adversarial patch attacks in object detection by filling bounding boxes possessing an objectness score below ...

Abstract: Deep reinforcement learning-based object detection ... ROI Align-based bounding box regression network (RABRNet) is proposed, which aims at further regressing the localization results of ...