多尺度目标检测:在需要检测大小差异显着的目标时,RFB_modified提供了多尺度特征捕捉能力。 分割任务:对于复杂的分割任务,尤其是像伪装物体检测这样依赖于背景上下文的任务,RFB_modified可以帮助增强全局与局部信息的结合。 总结: RFB_modified的核心作用是通过多尺度卷积和膨胀卷积,增强模型的感受野,从而帮助模型在多个尺度...
RFBYOLOv4Attention mechanismThe complexity and diversity of complex scenes make multi-target detection a great challenge. Traditional target detectors based on deep learning suffer from extreme computational complexity, excessive memory consumption and poor real-time performance. We propose a lightweight ...