Qing Li

Self-ensembling for 3D point cloud domain adaptation

Qing Li, Xiaojiang Peng, Chuan Yan, Pan Gao et autres

cn, us (code pays fourni par la source)

Graph Attentive Dual Ensemble learning for Unsupervised Domain Adaptation on point clouds

Qing Li, Chuan Yan, Qi Hao, Xiaojiang Peng et autres

cn, us, fi (code pays fourni par la source)

Learning the Meta Feature Transformer for Unsupervised Person Re-Identification

Qing Li, Xiaojiang Peng

Although unsupervised person re-identification (Re-ID) has drawn increasing research attention, it still faces the challenge of learning discriminative features in the absence of pairwise labels across disjoint camera views. To tackle the issue of label scarcity, researchers have delved into clustering and …

cn, us (code pays fourni par la source)

From Large Language Models to Large Multimodal Models: A Literature Review

Dawei Huang, Qing Li, Xiaojiang Peng

With the deepening of research on Large Language Models (LLMs), significant progress has been made in recent years on the development of Large Multimodal Models (LMMs), which are gradually moving toward Artificial General Intelligence. This paper aims to summarize the recent progress …

cn, us (code pays fourni par la source)

Research on Intelligent Applications of Metaverse Battlefield for Human-Computer Interaction

Ping Wang, Jian Li, Haiguang Li, Haoting Liu et autres

cn (code pays fourni par la source)

An Adaptive Spectral Clustering Algorithm for High-Dimensional Data

Qing Li, Ruibin Ren

As the samples are sparse in the high-dimensional space, the distance between the data samples cannot effectively represent their similarity. Consequently, the classical spectral clustering algorithm is limited in its effectiveness. The selection of the parameters for the Gaussian kernel function to …

cn (code pays fourni par la source)

MASNET: IMPROVE PERFORMANCE OF SIAMESE NETWORKS WITH MUTUAL-ATTENTION FOR REMOTE SENSING CHANGE DETECTION TASKS

Haiying Zhou, Yanling Ren, Qing Li, Jianbo Yin et autres

Abstract. Siamese networks are widely used for remote sensing change detection tasks. A vanilla siamese network has two identical feature extraction branches which share weights, these two branches work independently and the feature maps are not fused until about to be sent …

cn (code pays fourni par la source)

Suppressing Mislabeled Data via Grouping and Self-Attention

Xiaojiang Peng, Kai Wang, Zhaoyang Zeng, Qing Li et autres

Deep networks achieve excellent results on large-scale clean data but degrade significantly when learning from noisy labels. To suppressing the impact of mislabeled data, this paper proposes a conceptually simple yet efficient training block, termed as Attentive Feature Mixup (AFM), which allows …

cn, sg (code pays fourni par la source)

Learning label correlations for multi-label image recognition with graph networks

Qing Li, Xiaojiang Peng, Yu Qiao, Qiang Peng

cn (code pays fourni par la source)

Suppressing Mislabeled Data via Grouping and Self-attention

Xiaojiang Peng, Kai You Wang, Zhaoyang Zeng, Qing Li et autres

cn, sg (code pays fourni par la source)

Track grid health index for grid-based, data-driven railway track health evaluation

Qing Li, Qiyuan Peng, Rengkui Liu, Ling Liu et autres

Railway managers must have accurate assessments of railway track health to optimize maintenance and replacement scheduling and allocate resources reasonably. A model for railway track health evaluation, in which a continuous track line is divided into adjacent segments of the same length, …

cn (code pays fourni par la source)

Multiple VLAD Encoding of CNNs for Image Classification

Qing Li, Qiang Peng, Chuan Yan

Despite the effectiveness of convolutional neural networks (CNNs), especially for image classification tasks, the effect of convolution features on learned representations is still limited, mainly focusing on an images salient object but ignoring the variation information from clutter and local objects. The …

cn (code pays fourni par la source)