ISBI 2022: Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image Segmentation. - ShinkaiZ/CLCC-semi
Open-Vocabulary 3D Detection via Image-level Class and Debiased Cross-modal Contrastive Learning 通过图像级分类和去偏跨模态对比学习进行开放词汇 3D 检测 摘要 当前的点云检测方法由于泛化能力有限,难以检测现实世界中的开放词汇对象。此外,收集和完全注释具有众多对象类别的点云检测数据集是极其费力和昂贵的,导致...
Unsupervised feature learning has made great strides with contrastive learning based on instance discrimination and invariant mapping, as benchmarked on curated class-balanced datasets. However, natural data could be highly correlated and long-tail distributed. Natural between-instance similarity conflicts ...
Inspired by the recent success of contrastive learning in mining supervised signals from data itself, in this paper, we focus on exploring the contrastive learning in KG-aware recommendation and propose a novel multi-level cross-view contrastive learning mechanism, named MCCLK. Different from ...
There are two main limitations for existing models: (1) learning of cross-modal representations is restricted to batches; (2) semantically similar samples may be wrongly treated as negative. In this paper, we propose a novel category-level contrastive learning for unsupervised cross-modal hashing,...
Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System (MCCLK) is a knowledge-aware recommendation solution based on GNN and Contrastive Learning, proposing a multi-level cross-view contrastive framework to enhance representation learning from multi-faced aspects....
4.3 Masked Multi-Modal Learning 我们认为Image-Text Matching task (ITM)在实例级对图像-文本示例的细粒度理解方面可能存在问题。我们假设退化是由于替换后的图像和标题对不匹配,导致检测区域与文本不一致。 4.4 Cross-Modal Contrastive Loss 除了模内特征学习之外,CAPTURE还有望生成多模态输入的相干表示,并学习它们之...
Furthermore, we introduce a self-supervised pixel-level contrastive learning strategy, employing a projector pair to further enhance feature learning capabilities. Our comprehensive evaluation on a publicly available MRI cardiac segmentation dataset, comparing against various SSL frameworks with different UNet...
Multi-Level Contrastive Learning for Cross-Lingual Alignment However, unlike the sentence-level alignment used in most previous studies, in this paper, we explicitly integrate the word-level information of each pair... B Chen,W Guo,B Gu,... 被引量: 0发表: 2022年 Using Cross-language Informa...
Multi-Level Sequence Denoising with Cross-Signal Contrastive Learning for Sequential Recommendation - lalunex/MSDCCL