Xiang Hu

TFNet: a triple-fusion network for multispectral pedestrian detection

Abstract. Occlusions and far distance pedestrians pose significant challenges for pedestrian detection, often leading to insufficient feature representation learned by models, which in turn results in degraded detection accuracy and a high miss rate. To address this issue, we propose a three-stage fusion multispectral...