Titlebook: Advanced Intelligent Computing Technology and Applications; 20th International C De-Shuang Huang,Wei Chen,Yijie Pan Conference proceedings

dry-eye

A Multimodal Fake News Detection Model with Self-supervised Unimodal Label Generations and often ignore the semantic differences between single modalities, which limited the performance. To deal with the above problem, this paper proposes a multimodal fake news detection model (AFUG), which fully pays attention to the semantic correlation between each modal information by designing

最高點(diǎn)

卡死偷電

HAUNT

Palmprint Recognition Using SC-LNMF Model in Gabor Domainmain of 2D-Gabor wavelet is mainly discussed in this paper. And to extract more texture features of palmprint images, a modified 2D-Gabor kernel function is also used here. It is known that the common LNMF method can successfully extract an image’s local feature, but it does not consider the sparse

遠(yuǎn)足

SkinDiff: A Novel Data Synthesis Method Based on Latent Diffusion Model for Skin Lesion Segmentationng manual annotation. To address this issue, this paper proposes SkinDiff, a novel framework for training data expansion. Derived from the Latent Diffusion Model, we utilize two steps, the Generating Foreground and the Outpainting Background techniques, to synthesize high-fidelity labeled image samp

離開就切除

COMA

Context-Aware Relative Distinctive Feature Learning for Person Re-identificationtion tasks. Predominantly, current research concentrates on two aspects: fine-grained feature learning and hard example mining. However, these approaches present noticeable shortcomings. The method of fine-grained feature learning does not sufficiently account for the relativity of distinct features

intimate

affinity

Transfusion

Das Einzelelektron im Kristall,d crack segmentation network that insert a SER at each scale of the encoder and decoder. Finally, by comparing proposed model with six established segmentation algorithms on two public crack datasets, DeepCrack and MSCI, our model achieves higher segmentation accuracy with extremely low parameters and FLOPs.