Neighbor Iou Voting SSD Detector

Neighbor IoU Voting Single-Stage Object Detectors (NIV-SSDs) aim to improve the accuracy and efficiency of object detection, particularly addressing the misalignment between localization and classification confidence in single-stage models. Current research focuses on refining these detectors through techniques like neighbor IoU voting to better connect classification and regression branches, and data augmentation strategies to handle imbalanced datasets. These advancements have applications across diverse fields, including agricultural monitoring, autonomous driving (using LiDAR point clouds), and industrial defect inspection, demonstrating the broad utility of improved object detection methods.