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Found 11 papers, 5 papers with code
基于中文信息与越南语句法指导的越南语事件检测(Vietnamese event detection based on Chinese information and Vietnamese syntax guidance)
“当前基于深度学习的事件检测模型都依赖足够数量的标注数据, 而标注数据的稀缺及事件类型歧义为越南语事件检测带来了极大的挑战。根据“表达相同观点但语言不同的句子通常有相同或相似的语义成分”这一多语言一致性特征, 本文提出了一种基于中文信息与越南语句法指导的越南语事件检测框架。首先通过共享编码器策略和交叉注意力网络将中文信息融入到越南语中, 然后使用图卷积网络融入越南语依存句法信息, 最后在中文事件类型指导下实现越南语事件检测。实验结果表明, 在中文信息和越南语句法的指导下越南语事件检测取得了较好的效果。”
Single-Image HDR Reconstruction Assisted Ghost Suppression and Detail Preservation Network for Multi-Exposure HDR Imaging
This network, comprising single-frame HDR reconstruction with enhanced stop image (SHDR-ESI) and SHDR-ESI-assisted multi-exposure HDR reconstruction (SHDRA-MHDR), effectively leverages the ghost-free characteristic of single-frame HDR reconstruction and the detail-enhancing capability of ESI in oversaturated areas.
Depth Information Assisted Collaborative Mutual Promotion Network for Single Image Dehazing
On the one hand, the difference perception between the depth maps of the dehazing result and the ideal image is proposed to promote the dehazing network to pay attention to the non-ideal areas of the dehazing.
CHITNet: A Complementary to Harmonious Information Transfer Network for Infrared and Visible Image Fusion
Specifically, to skillfully sidestep aggregating complementary information in IVIF, we design a mutual information transfer (MIT) module to mutually represent features from two modalities, roughly transferring complementary information into harmonious one.
Generation and Recombination for Multifocus Image Fusion with Free Number of Inputs
To distinguish the hard pixels from the source images, we achieve the determination of hard pixels by considering the inconsistency among the detection results of focus areas in source images.
Progressive Feature Mining and External Knowledge-Assisted Text-Pedestrian Image Retrieval
In addition, to further reduce the negative impact of modal discrepancy and text diversity on cross-modal matching, we propose to use other sample knowledge of the same modality, i. e., external knowledge to enhance identity-consistent features and weaken identity-inconsistent features.
Prototype-Driven and Multi-Expert Integrated Multi-Modal MR Brain Tumor Image Segmentation
To this end, a multi-modal MR brain tumor segmentation method with tumor prototype-driven and multi-expert integration is proposed.
Domain-adaptive Person Re-identification without Cross-camera Paired Samples
Therefore, the supervised model training is achieved under the style supervision of the target domain by exchanging styles between source-domain samples and target-domain samples, and the challenges caused by the lack of cross-camera paired samples are solved by utilizing cross-camera similar samples.
Domain Adaptive Person Re-Identification
Person Re-Identification
Adversarial Self-Attack Defense and Spatial-Temporal Relation Mining for Visible-Infrared Video Person Re-Identification
In this work, the changes of views, posture, background and modal discrepancy are considered as the main factors that cause the perturbations of person identity features.
Person Text-Image Matching via Text-Feature Interpretability Embedding and External Attack Node Implantation
Specifically, we improve the interpretability of text features by providing them with consistent semantic information with image features to achieve the alignment of text and describe image region features. To address the challenges posed by the diversity of text and the corresponding person images, we treat the variation caused by diversity to features as caused by perturbation information and propose a novel adversarial attack and defense method to solve it.
Go viral or go broadcast? Characterizing the virality and growth of cascades
Quantifying the virality of cascades is an important question across disciplines such as the transmission of disease, the spread of information and the diffusion of innovations.
Physics and Society Social and Information Networks
