FourStr: When Multi-sensor Fusion Meets Semi-supervised Learning
Bangquan Xie,Liang Yang,Zongming Yang,Ailin Wei,Xiaoxiong Weng,Bing Li,Bangquan Xie,Liang Yang,Zongming Yang,Ailin Wei,Xiaoxiong Weng,Bing Li
This research proposes a novel semi-supervised learning framework FourStr (Four-Stream formed by two two-stream models) that focuses on the improvement of fusion and labeling efficiency for 3D multi-sensor detector. FourStr adopts a multi-sensor single-stage detector named adaptive fusion network (AFNet) as the backbone and trains it through the semi-supervision learning (SSL) strategy Stereo Fusi...
