This paper proposes a lightweight yet effective network architecture for depth completion. It enables to fuse multi-modal and multi-level features through a Cascade Dense Connection Fusion Network. This is implemented by means of a dense connection fusion block, multi-scale features and a modality-aware aggregation mechanism. Our model is evaluated on the KITTI benchmark and achieves competitive results compared with state-of-the-art while counting much fewer parameters.
R. Fan, Z. Li, M.P. (In stampa/Attività in corso). A Cascade Dense Connection Fusion Network for Depth Completion.
A Cascade Dense Connection Fusion Network for Depth Completion
R. Fan;M. Poggi;S. Mattoccia
In corso di stampa
Abstract
This paper proposes a lightweight yet effective network architecture for depth completion. It enables to fuse multi-modal and multi-level features through a Cascade Dense Connection Fusion Network. This is implemented by means of a dense connection fusion block, multi-scale features and a modality-aware aggregation mechanism. Our model is evaluated on the KITTI benchmark and achieves competitive results compared with state-of-the-art while counting much fewer parameters.File in questo prodotto:
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