A global-local feature collaborative underwater image enhancement network that adopts a three-branch collaborative architecture to model local structural details, cross-color channel dependencies, and global contextual information, enabling joint optimization of global consistency and local discriminability is proposed...
Rong He, Fen Chen, Lian Huang et al.· Journal of Electronic Imagin...· 0 citations
This paper proposes a new, to the authors' knowledge, efficient and accurate semantic segmentation network for LiDAR, called Range-FDSeg, and introduces a lightweight and dynamic upsampler, called Dysample-S+.
Hong Tan, Fen Chen, Tingna Liu et al.· Applied Optics· 0 citations
The proposed PDES-Net enhances segmentation performance while maintaining advantages in model parameters and inference speed, and achieves a well-balanced trade-off between accuracy and computational efficiency.
Si-Si Zhang, Zong-Ju Peng, Hong Tan et al.· Measurement science and tech...· 0 citations
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