English(EN) WeakMCN: Multi-task Collaborative Network for Weakly Supervised Referring Expression Comprehension and Segmentation

新型WeakMCN网络改进指代表达任务

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-07 04:00

研究人员开发了WeakMCN，一种新颖的多任务协同网络，旨在改进弱监督指代表达理解和分割。该双分支架构联合学习这两个任务，其中理解分支充当分割分支的教师。该网络结合了动态视觉特征增强以适应视觉知识，以及协同一致性模块以促进跨任务对齐。在RefCOCO、RefCOCO+和RefCOCOg等基准测试上的实验表明，WeakMCN的表现优于现有的单任务方法。 AI

影响引入了一种新颖的架构，通过文本描述改进图像中的物体定位。

排序理由该集群包含一篇详细介绍新计算机视觉模型的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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Signal score: 32 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该集群包含一篇详细介绍新计算机视觉模型的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

arXiv cs.CV TIER_1 English(EN) · Silin Cheng, Yang Liu, Xinwei He, Sebastien Ourselin, Lei Tan, Gen Luo · 2026-09-07 04:00

WeakMCN：用于弱监督指代表达理解和分割的多任务协作网络

arXiv:2505.18686v3 Announce Type: replace Abstract: Weakly supervised referring expression comprehension(WREC) and segmentation(WRES) aim to learn object grounding based on a given expression using weak supervision signals like image-text pairs. While these tasks have traditional…

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报道来源 [1]

WeakMCN：用于弱监督指代表达理解和分割的多任务协作网络

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