most citedDcl-Net: Dual Contrastive Learning Network for Semi-Supervised Multi-Organ Segmentation

9 citations

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3 papers

cs.CV2024★ 9 cited

Dcl-Net: Dual Contrastive Learning Network for Semi-Supervised Multi-Organ Segmentation

Lu Wen, Zhenghao Feng, Yun Hou +4

Semi-supervised learning is a sound measure to relieve the strict demand of abundant annotated datasets, especially for challenging multi-organ segmentation . However, most existin…

eess.SY2019★ 2 cited

A Message Passing Approach for Multiple Maneuvering Target Tracking

Hua Lan, Jirong Ma, Zengfu Wang +2

This paper considers the problem of detecting and tracking multiple maneuvering targets, which suffers from the intractable inference of high-dimensional latent variables that incl…

cs.NI2019

A TDMA-like Access Scheme with Splitting Request and Transmission for Vehicular Networks

Shenglong Peng, Xuan He, Junyi Du +2

In this paper, we consider safety message transmission in a dense vehicular network. With increasing vehicular network density, the collision rate increases when multiple vehicles…