Shasha Han

YOLO-ULM: Ultra-Lightweight Models for Real-Time Object Detection

YOLO series lead object detection with superior accuracy and speed. However, both convolutional and self-attention based architectures suffer from parameter redundancy and insufficient computational efficiency. Existing lightweight methods excessively pursue speed while ignoring the loss of importan