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ORCID6th PRCV 2023: Xiamen, China - Part IX
- Qingshan Liu
, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part IX. Lecture Notes in Computer Science 14433, Springer 2024, ISBN 978-981-99-8545-6
Neural Network and Deep Learning II
- Xiaohua Chen, Yucan Zhou, Lin Wang, Dayan Wu, Wanqian Zhang, Bo Li, Weiping Wang:
Decoupled Contrastive Learning for Long-Tailed Distribution. 3-15 - Kelei Jin, Jing Chen, Tingting Song:
MFNet: A Channel Segmentation-Based Hierarchical Network for Multi-food Recognition. 16-28 - Weiwei Zeng, Song Gao, Wei Zhou, Yunyun Dong, Ruxin Wang:
Improving the Adversarial Robustness of Object Detection with Contrastive Learning. 29-40 - Chunpeng Wang, Pengfei Tian, Ziqi Wei, Qi Li, Zhiqiu Xia, Bin Ma:
CAWNet: A Channel Attention Watermarking Attack Network Based on CWABlock. 41-52 - Le Jiang, Xinhao Yang, Liyan Ma, Zhenglin Li:
Global Consistency Enhancement Network for Weakly-Supervised Semantic Segmentation. 53-65 - Zhiquan Qin, Guoxing Liu, Xianming Lin:
Enhancing Model Robustness Against Adversarial Attacks with an Anti-adversarial Module. 66-78 - Caihua Liu, Hongyang Shi, Xinyu He:
FGPTQ-ViT: Fine-Grained Post-training Quantization for Vision Transformers. 79-90 - Zhipeng Zhang, Yiqun Zhang, An Zeng, Dan Pan, Xiaobo Zhang:
Learning Hierarchical Representations in Temporal and Frequency Domains for Time Series Forecasting. 91-103 - Xiaolin Huang, Mengke Li, Yang Lu, Hanzi Wang:
DeCAB: Debiased Semi-supervised Learning for Imbalanced Open-Set Data. 104-119 - Haiyun Tao, Yukang Zhang, Yang Lu, Hanzi Wang:
An Effective Visible-Infrared Person Re-identification Network Based on Second-Order Attention and Mixed Intermediate Modality. 120-132 - Xiaodong Fan:
Quadratic Polynomial Residual Network for No-Reference Image Quality Assessment. 133-144 - Hao Jiang, Haowei Li, Junhao Chen, Wentao Wan, Keze Wang:
Interactive Learning for Interpretable Visual Recognition via Semantic-Aware Self-Teaching Framework. 145-157 - Renwei Ba, Xiao Li, Ruimin Yang, Chunlei Li, Zhoufeng Liu:
Adaptive and Compact Graph Convolutional Network for Micro-expression Recognition. 158-169 - Wei Wang, Li Xiao:
Consistency Guided Multiview Hypergraph Embedding Learning with Multiatlas-Based Functional Connectivity Networks Using Resting-State fMRI. 170-181 - Yuanming Shao, Hui He, Yu Tai, Xinglong Wu, Hongwei Yang:
A Diffusion Simulation User Behavior Perception Attention Network for Information Diffusion Prediction. 182-194 - Yu Tai, Hongwei Yang, Hui He, Xinglong Wu, Weizhe Zhang:
A Representation Learning Link Prediction Approach Using Line Graph Neural Networks. 195-207 - Dan Li, Teng Huang, Jie Hong, Yile Hong, Jiaqi Wang, Zhen Wang, Xi Zhang:
Event Sparse Net: Sparse Dynamic Graph Multi-representation Learning with Temporal Attention for Event-Based Data. 208-219 - Zhuang Zhao, Feng Yang, Guirong Liang:
Federated Learning Based on Diffusion Model to Cope with Non-IID Data. 220-231 - Shuai Wang, Yubing Han, Shouliang Song, Honglei Zhu, Li Zhang, Anming Dong, Jiguo Yu:
SFRSwin: A Shallow Significant Feature Retention Swin Transformer for Fine-Grained Image Classification of Wildlife Species. 232-243 - Chinan Wang, Ming Yin, F. Liang, Xiao Wang:
A Robust and High Accurate Method for Hand Kinematics Decoding from Neural Populations. 244-255 - Xu Peng, Wei Lin, Taisong Jin:
Multi-head Attention Induced Dynamic Hypergraph Convolutional Networks. 256-268 - Yue Zhang, Getao Du, Yonghua Zhan, Kaitai Guo, Yang Zheng, Jianzhong Guo, Xiaoping Chen, Jimin Liang:
Self Supervised Temporal Ultrasound Reconstruction for Muscle Atrophy Evaluation. 269-280 - Junjie Wu, Changqun Xia, Tianshu Yu, Zhentao He, Jia Li:
Salient Object Detection Using Reciprocal Learning. 281-293 - Jia Chen, Xiyang Li, Yangjun Ou, Xinrong Hu, Tao Peng:
Graphormer-Based Contextual Reasoning Network for Small Object Detection. 294-305 - Zhanqiang Huo, Kunwei Zhang, Fen Luo, Yingxu Qiao:
PVT-Crowd: Bridging Multi-scale Features from Pyramid Vision Transformer for Weakly-Supervised Crowd Counting. 306-318 - Xiya Bu, Ruixin Ma:
Multi-view Contrastive Learning Network for Recommendation. 319-330 - Pingjiang Long, Zihao Jian, Xiangrong Liu:
Uncertainty-Confidence Fused Pseudo-labeling for Graph Neural Networks. 331-342 - Xiangwei Lai, Wei Huang:
FSCD-Net: A Few-Shot Stego Cross-Domain Net for Image Steganalysis. 343-355 - Yulong Bai, Meng Jian, Shuyi Li, Lifang Wu:
Preference Contrastive Learning for Personalized Recommendation. 356-367 - Tanzhe Li, Wei Lin, Xiawu Zheng, Taisong Jin:
GLViG: Global and Local Vision GNN May Be What You Need for Vision. 368-382 - Nannan Lu, Yi Luo, Mingkai Qiu:
SVDML: Semantic and Visual Space Deep Mutual Learning for Zero-Shot Learning. 383-395 - Lijun Zhang, Geng Chen, Qingyue Wang, Peng Wang:
Heterogeneous Graph Attribute Completion via Efficient Meta-path Context-Aware Learning. 396-408 - Zhengguang Cao, Wei Jia:
Fine-Grain Classification Method of Non-small Cell Lung Cancer Based on Progressive Jigsaw and Graph Convolutional Network. 409-420 - Jinwei Wang, Maoyuan Wang, Hao Wu, Bin Ma, Xiangyang Luo:
Improving Transferability of Adversarial Attacks with Gaussian Gradient Enhance Momentum. 421-432 - Tianchi Qiu, Xiuhong Li, Kangwei Liu, Songlin Li, Fan Chen, Chenyu Zhou:
Boundary Guided Feature Fusion Network for Camouflaged Object Detection. 433-444 - Dunquan Wu, Chenglizhao Chen:
Saliency Driven Monocular Depth Estimation Based on Multi-scale Graph Convolutional Network. 445-456 - Hao Chen, Li Li, Neng Yu:
Mask-Guided Joint Single Image Specular Highlight Detection and Removal. 457-468 - Longkun Zhang, Jiajun Wen, Zichen Dai, Rouyi Zhou, Zhihui Lai:
CATrack: Convolution and Attention Feature Fusion for Visual Object Tracking. 469-480 - Pujin Liao, Zengfu Wang:
SText-DETR: End-to-End Arbitrary-Shaped Text Detection with Scalable Query in Transformer. 481-492 - Duren Wen, Xueming Li, Yue Zhang:
SSHRF-GAN: Spatial-Spectral Joint High Receptive Field GAN for Old Photo Restoration. 493-504
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