Semi-Supervised Crowd Counting with Contextual Modeling: Enhancing Holistic Understanding of Crowd Scenes
The proposed semi-supervised crowd counting framework, MRC-Crowd, enhances the model's ability to leverage holistic cues from the crowd scenes, mitigating the issue of overfitting to local details when trained on limited labeled data.
