HIGHLIGHTS
- who: Wenze Hu and collaborators from the China-UK Low Carbon College, Shanghai Jiao Tong University, Shanghai, China have published the paper: LUMDE: Light-Weight Unsupervised Monocular Depth Estimation via Knowledge Distillation, in the Journal: (JOURNAL)
- what: Due to the lack of ground truth and considering the limitation of unsupervised learning, the authors propose two assisted modules to further improve the performance of the student depth network. This work proposed a lightweight unsupervised monocular depth estimation network (LUMDE) achieved by knowledge distillation.
- how: The authors introduced a knowledge-distillation-based approach named LUMDE . . .
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