output
19992026
most citedPredictive Modeling of Flexible EHD Pumps using Kolmogorov-Arnold Networks

87 citations

Showing cs.CVShow all

5 papers · 1 filter

cs.CV2026

Progressive Pixel-Neighborhood Deformable Cross-Attention for Multispectral Object Detection

Tian Qiu, Jifeng Shen, Xin Zuo

Effective cross-modal feature alignment and interaction are central challenges in multispectral object detection. Although global cross-attention provides strong long-range modelin…

cs.CV2025★ 9 cited

Improving underwater semantic segmentation with underwater image quality attention and muti-scale aggregation attention

Xin Zuo, Jiaran Jiang, Jifeng Shen +1

Underwater image understanding is crucial for both submarine navigation and seabed exploration. However, the low illumination in underwater environments degrades the imaging qualit…

cs.CV2024★ 6 cited

Efficient Multi-branch Segmentation Network for Situation Awareness in Autonomous Navigation

Guan-Cheng Zhou, Chen Chengb, Yan-zhou Chena

Real-time and high-precision situational awareness technology is critical for autonomous navigation of unmanned surface vehicles (USVs). In particular, robust and fast obstacle sem…

cs.CV2018★ 5 cited

Cross-domain attribute representation based on convolutional neural network

Guohui Zhang, Gaoyuan Liang, Fang Su +2

In the problem of domain transfer learning, we learn a model for the predic-tion in a target domain from the data of both some source domains and the target domain, where the targe…

cs.CV2018★ 1 cited

Progressive refinement: a method of coarse-to-fine image parsing using stacked network

Jiagao Hu, Zhengxing Sun, Yunhan Sun +1

To parse images into fine-grained semantic parts, the complex fine-grained elements will put it in trouble when using off-the-shelf semantic segmentation networks. In this paper, f…