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检索条件"任意字段=IEEE Conference on Computer Vision and Pattern Recognition"

共 52943 条记录，以下是31-40 订阅

全选清除本页清除全部题录导出标记到"检索档案"

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6th Chinese conference on pattern recognition and computer vision, PRCV 2023

6th Chinese Conference on Pattern Recognition and Computer V...

引用

6th Chinese conference on pattern recognition and computer vision, PRCV 2023

ISBN: (纸本)9789819985456

The proceedings contain 522 papers. The special focus in this conference is on pattern recognition and computer vision. The topics include: Image Priors Assisted Pre-training for Point Cloud Shape Analysis;AMM-GAN: Attribute-Matching Memory for Person Text-to-Image Generation;recFormer: Recurrent Multi-modal Transformer with History-Aware Contrastive Learning for Visual Dialog;KV Inversion: KV Embeddings Learning for Text-Conditioned Real Image Action Editing;enhancing Text-Image Person Retrieval Through Nuances Varied Sample;unsupervised Prototype Adapter for vision-Language Models;Multimodal Causal Relations Enhanced CLIP for Image-to-Text Retrieval;exploring Cross-Modal Inconsistency in Entities and Emotions for Multimodal Fake News Detection;deep Consistency Preserving Network for Unsupervised Cross-Modal Hashing;multi-scale Dilated Attention Graph Convolutional Network for Skeleton-Based Action recognition;learning Adapters for Text-Guided Portrait Stylization with Pretrained Diffusion Models;edgeFusion: Infrared and Visible Image Fusion Algorithm in Low Light;an Efficient Momentum Framework for Face-Voice Association Learning;multi-modal Instance Refinement for Cross-Domain Action recognition;modality Interference Decoupling and Representation Alignment for Caricature-Visual Face recognition;plugging Stylized Controls in Open-Stylized Image Captioning;MGT: Modality-Guided Transformer for Infrared and Visible Image Fusion;multimodal Rumor Detection by Using Additive Angular Margin with Class-Aware Attention for Hard Samples;an Effective Dynamic Reweighting Method for Unbiased Scene Graph Generation;multi-modal Graph and Sequence Fusion Learning for Recommendation;Auto-Learning-GCN: An Ingenious Framework for Skeleton-Based Action recognition;co-attention Guided Local-Global Feature Fusion for Aspect-Level Multimodal Sentiment Analysis;discovering Multimodal Hierarchical Structures with Graph Neural Networks for Multi-modal and Multi-hop Question Answering;enhan

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6th Chinese conference on pattern recognition and computer vision, PRCV 2023

6th Chinese Conference on Pattern Recognition and Computer V...

引用

6th Chinese conference on pattern recognition and computer vision, PRCV 2023

ISBN: (纸本)9789819984688

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6th Chinese conference on pattern recognition and computer vision, PRCV 2023

6th Chinese Conference on Pattern Recognition and Computer V...

引用

6th Chinese conference on pattern recognition and computer vision, PRCV 2023

ISBN: (纸本)9789819985425

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6th Chinese conference on pattern recognition and computer vision, PRCV 2023

6th Chinese Conference on Pattern Recognition and Computer V...

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6th Chinese conference on pattern recognition and computer vision, PRCV 2023

ISBN: (纸本)9789819985487

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7th Chinese conference on pattern recognition and computer vision, PRCV 2024

7th Chinese Conference on Pattern Recognition and Computer V...

引用

7th Chinese conference on pattern recognition and computer vision, PRCV 2024

ISBN: (纸本)9789819787944

The proceedings contain 81 papers. The special focus in this conference is on pattern recognition and computer vision. The topics include: FUF-TransUNet: A Transformer-Based U-Net with Fully Utilize of Features for Liver and Liver-Tumor Segmentation in CT Images;Dual-View Dual-Boundary Dual U-Nets for Multiscale Segmentation of Oral CBCT Images;a Novel Diffusion Model with Wavelet Transform for Optic Disc and Cup Segmentation in Fundus Images;STCTb: A Spatio-Temporal Collaborative Transformer Block for Brain Diseases Classification Using fMRI Time Series;a Generalized Contrast-Adjustment Guided Growth Method for Medical Image Segmentation;MDNet: Morphology-Driven Weakly Supervised Polyp Detection;MMR-Sleep: A Multi-Channel and Multi-Receptive Field Sleep Stage recognition Model;CPNet: Cross Prototype Network for Few-Shot Medical Image Segmentation;SBC-UNet: A Network Based on Improved Hourglass Attention Mechanism and U-Net for Medical Image Segmentation;Bridge the Gap of Semantic Context: A Boundary-Guided Context Fusion UNet for Medical Image Segmentation;bilinear Fine-grained Classification of Ultrasound Images Integrated with Interpretable Radiomics;GCNet: Global Context-Guided Uncertainty Boundary for Polyp Segmentation;Comprehensive Transformer Integration Network (CTIN): Advancing Endoscopic Disease Segmentation with Hybrid Transformer Architecture;IPM: An Intelligent Component for 3D Brain Tumor Segmentation Integrating Semantic Extractor and Pixel Refiner;edge-Net: A Self-supervised Medical Image Segmentation Model Based on Edge Attention;fundus Image Disease Diagnosis and Quality Assessment Based on Dual-Task Collaborative Optimization;multi-modality Correlation Learning Network for Pediatric Ventricular Septal Defects Identification;MFIS-Net: A Deep Learning Framework for Left Atrial Segmentation;semi-supervised Gland Segmentation via Label Purification and Reliable Pixel Learning;DFANet: A Dual-Stream Deep Feature Aware Network for Multi-focus Image Fusi

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7th Chinese conference on pattern recognition and computer vision, PRCV 2024