Disentangling Consistent and Specific Information for Double Incomplete Multi-View Multi-Label Classification [0.03%]
解开一致性和特定信息的双不完整多视图多标签分类问题
Jie Wen,Lian Zhao,Xiaohuan Lu et al.
Jie Wen et al.
As a prominent research topic, multi-view multi-label classification (MvMlC) aims to assign multiple labels to samples by integrating information from various perspectives. However, in real-world scenarios, MvMlC frequently faces the learni...
Yisen Wang,Yichuan Mo,Dongxian Wu et al.
Yisen Wang et al.
Skip connection is an essential ingredient for modern deep models to be deeper and more powerful. Despite their huge success in normal scenarios (state-of-the-art classification performance on natural examples), we investigate and identify ...
Borui Zhang,Qihang Rao,Jie Zhou et al.
Borui Zhang et al.
Deep learning has profoundly impacted society, yet the inherent nature of deep neural networks hinders further application to high-reliability industries. To demystify these black-boxes, numerous works attempt to improve the explainability ...
STCF: Multi-View Clustering for Spatial Transcriptomics Based on Cross-View Fusion [0.03%]
基于跨视图融合的空间转录组学多重视角聚类(STCF)
Zeyu Zhu,Ke Liang,Lingyuan Meng et al.
Zeyu Zhu et al.
Spatial transcriptomics has revolutionized the ability to investigate transcriptional patterns within tissue morphology. However, many ST clustering pipelines operate on a single preselected gene set, typically prioritizing either highly va...
Learning Compact Semantic Information and Reliable Pseudo-labels for Incomplete Multi-View Multi-Label Classification [0.03%]
学习简洁的语义信息和可靠的伪标签以处理不完整的多视图多标签分类问题
Yadong Liu,Chengliang Liu,Jie Wen et al.
Yadong Liu et al.
Multi-view data encompasses various data types, including multi-feature, multi-sequence, and multi-modal data. Multi-view multi-label classification aims to leverage the rich semantic information contained in multiple views to achieve enhan...
Enhancing Multi-View Clustering: A Sufficient Information-Theoretic Approach for Consistency Acquisition and Redundancy Elimination [0.03%]
基于信息论的多视图聚类一致性获取与冗余消除方法研究
Yazhou Ren,Zichen Wen,Junlong Ke et al.
Yazhou Ren et al.
Multi-view clustering (MVC) has gained widespread recognition as a valuable technique for enhancing clustering performance by harnessing diverse data sources. Nonetheless, current methods mainly concentrate on obtaining consistent informati...
Towards a Unified Complementary Fusion Framework for Robust Polarimetric Imaging [0.03%]
稳健偏振成像的互补融合框架研究
Chu Zhou,Yixing Liu,Minggui Teng et al.
Chu Zhou et al.
Polarization, as an intrinsic property of light along side amplitude and phase, has demonstrated great potential in a variety of downstream applications by providing valuable physical cues encoded in the degree of polarization (DoP) and the...
Reason-Align-Respond: Aligning LLM Reasoning with Knowledge Graphs for KGQA [0.03%]
理由对齐回应：通过与知识图谱对齐来改进LLM推理以进行KGQA
Xiangqing Shen,Fanfan Wang,Zinong Yang et al.
Xiangqing Shen et al.
Large language models (LLMs) have demonstrated remarkable capabilities in complex reasoning tasks, yet they often suffer from hallucinations and lack reliable factual grounding. Meanwhile, knowledge graphs (KGs) provide structured factual k...
A Natural Language Guided Approach for Blind Face Restoration: Methodology and Dataset [0.03%]
一种基于自然语言引导的盲人脸修复方法及数据集
Wenjie An,Chenyang Wang,Junjun Jiang et al.
Wenjie An et al.
Blind Face Restoration (BFR) aims to reconstruct high-quality face images from low-quality inputs without any prior knowledge of the specific degradation types or levels. In recent years, remarkable progress has been achieved, particularly ...
Efficient Point Cloud Processing with High-Dimensional Positional Encoding and Non-Local MLPs [0.03%]
高效的高维位置编码和非局部MLP点云处理方法
Yanmei Zou,Hongshan Yu,Yaonan Wang et al.
Yanmei Zou et al.
Multi-Layer Perceptron (MLP) models are the foundation of contemporary point cloud processing. However, their complex network architectures obscure the source of their strength and limit the application of these models. In this article, we ...