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ORCID6th PRCV 2023: Xiamen, China - Part VIII
- 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 VIII. Lecture Notes in Computer Science 14432, Springer 2024, ISBN 978-981-99-8542-5
Neural Network and Deep Learning I
- Hao Wu, Jun Zhou, Qiong Zhang, Yang Lei, Kun Yu, Wenbo An, Juntao Zhang:
A Quantum-Based Attention Mechanism in Scene Text Detection. 3-14 - Yuanbo Sun, Can Gao:
NCMatch: Semi-supervised Learning with Noisy Labels via Noisy Sample Filter and Contrastive Learning. 15-27 - Chong Huang, Shaohui Lin, Yan Zhang, Ke Li, Baochang Zhang:
Data-Free Low-Bit Quantization via Dynamic Multi-teacher Knowledge Distillation. 28-41 - Guoping Xu, Xuan Zhang, Xinwei He, Xinglong Wu:
LeViT-UNet: Make Faster Encoders with Transformer for Medical Image Segmentation. 42-53 - Deyu An, Qiang Zhang, Jianshu Chao, Ting Li, Feng Qiao, Zhenpeng Bian, Yong Deng:
DUFormer: Solving Power Line Detection Task in Aerial Images Using Semantic Segmentation. 54-66 - Fangyu Zhou, Xicheng Chen, Haibo Ye:
Space-Transform Margin Loss with Mixup for Long-Tailed Visual Recognition. 67-79 - Zebao Zhang, Yuzhao Li, Ming He:
A Multi-perspective Squeeze Excitation Classifier Based on Vision Transformer for Few Shot Image Classification. 80-92 - Pengyu Wang, Tao Ren, Jiaxin Liu, Wei Liu, Jun Hu, Shuai Cheng, Dazong Zhang:
ITCNN: Incremental Learning Network Based on ITDA and Tree Hierarchical CNN. 93-104 - Senzi Luo, Jiayin Xiao, Dong Li, Muwei Jian:
Periodic-Aware Network for Fine-Grained Action Recognition. 105-117 - Huihuang Zhang, Haigen Hu, Qi Chen, Qianwei Zhou, Mingfeng Jiang:
Learning Domain-Invariant Representations from Text for Domain Generalization. 118-129 - Zhao Gao, Li Yan, Hong Xie, Pengcheng Wei, Hao Wu, Jian Wang:
TSTD:A Cross-modal Two Stages Network with New Trans-decoder for Point Cloud Semantic Segmentation. 130-141 - Qiaochu Liang, Lei Gong, Chao Wang, Xuehai Zhou, Xi Li:
NeuralMAE: Data-Efficient Neural Architecture Predictor with Masked Autoencoder. 142-154 - Tao Wang, Xin Dong, Zhendong Li, Hao Liu:
Co-regularized Facial Age Estimation with Graph-Causal Learning. 155-166 - Youhui Cheng, Jianping Gou, Weihua Ou:
Online Distillation and Preferences Fusion for Graph Convolutional Network-Based Sequential Recommendation. 167-178 - Ziqi Gu, Chunyan Xu, Zhen Cui:
Grassmann Graph Embedding for Few-Shot Class Incremental Learning. 179-191 - Yide Qiu, Tong Zhang, Bo Huang, Zhen Cui:
Global Variational Convolution Network for Semi-supervised Node Classification on Large-Scale Graphs. 192-204 - Gongrui Nan, Fei Chao:
Frequency Domain Distillation for Data-Free Quantization of Vision Transformer. 205-216 - Jie Zhang, Wentao Fan, Xin Liu:
An ANN-Guided Approach to Task-Free Continual Learning with Spiking Neural Networks. 217-228 - Qihuang Chen, Zhongwen Xiao, Zhen Zhang, Yaonong Wang:
Multi-adversarial Adaptive Transformers for Joint Multi-agent Trajectory Prediction. 229-241 - Wei Ji, Dongqin Wu, Rui-Wei Zhao, Weijia Fu, Yingwen Wang, Yuejie Zhang, Rui Feng, Xiaobo Zhang:
Enhancing Open-Set Object Detection via Uncertainty-Boxes Identification. 242-254 - Qingwang Zeng, Jing Xiao:
Interventional Supervised Learning for Person Re-identification. 255-267 - Jingjia Huang, Ge Meng, Yingying Wang, Yunlong Lin, Yue Huang, Xinghao Ding:
DP-INNet: Dual-Path Implicit Neural Network for Spatial and Spectral Features Fusion in Pan-Sharpening. 268-279 - Yifan Ma, Xuefeng Liang, Xiaoyu Lin, Guanghui Shi:
Stable Visual Pattern Mining via Pattern Probability Distribution. 280-292 - Chunqing Ruan, Hongjian Wang:
Dynamic Visual Prompt Tuning for Parameter Efficient Transfer Learning. 293-303 - Feng He, Fuchuan Ni:
C-volution: A Hybrid Operator for Visual Recognition. 304-315 - Junbo Zhang, Wenhui Guo, Haoran Yu, Yanjiang Wang:
Motor Imagery EEG Recognition Based on an Improved Convolutional Neural Network with Parallel Gate Recurrent Unit. 316-327 - Haoran Yu, Baodi Liu, Yingjie Wang, Kai Zhang, Dapeng Tao, Weifeng Liu:
A Stable Vision Transformer for Out-of-Distribution Generalization. 328-339 - Ruixuan Gao, Han Su, Peisen Tang:
Few-Shot Classification with Semantic Augmented Activators. 340-352 - Jisheng Cheng, Qin Cheng, Mengjie Yang, Zhen Liu, Qieshi Zhang, Jun Cheng:
MixPose: 3D Human Pose Estimation with Mixed Encoder. 353-364 - Siyu Chen, Qingfeng Wu:
Image Manipulation Detection Based on Ringed Residual Edge Artifact Enhancement and Multiple Attention Mechanisms. 365-376 - Haijian Chen, Wendong Zhang, Yunbo Wang, Xiaokang Yang:
Improving Masked Autoencoders by Learning Where to Mask. 377-390 - Chenjian Sun, Yihong Dong:
An Audio Correlation-Based Graph Neural Network for Depression Recognition. 391-403 - Jie Chen, Yun Tie, Lin Qi, Chengwu Liang:
Dynamic Gesture Recognition Based on 3D Central Difference Separable Residual LSTM Coordinate Attention Networks. 404-416 - Zi Kang, Yumei Zhang, Rui Zhang, Yanan Jiang, Hui Xia:
QESAR: Query Effective Decision-Based Attack on Skeletal Action Recognition. 417-429 - Yuhao Liu, Le Dong, Tengyang He:
A Closer Look at Few-Shot Object Detection. 430-447 - Haixin Zhou, Biaohua Ye, Jian-Huang Lai:
Learning-Without-Forgetting via Memory Index in Incremental Object Detection. 448-459 - Haigen Hu, Chenghan Yu, Qianwei Zhou, Qiu Guan, Qi Chen:
SAMDConv: Spatially Adaptive Multi-scale Dilated Convolution. 460-472 - Zaiyan Dai, Jun Yang, Anfei Fan, Jinyin Jia, Junfan Chen:
SADD: Generative Adversarial Networks via Self-attention and Dual Discriminator in Unsupervised Domain Adaptation. 473-484 - Shidong Chen, Yalun Wang, Huicong Bian, Qin Lu:
ELFLN: An Efficient Lightweight Facial Landmark Network Based on Hybrid Knowledge Distillation. 485-497 - Guangrui Guo, Zhonghang Wei, Jinyong Cheng:
Enhancing Continual Noisy Label Learning with Uncertainty-Based Sample Selection and Feature Enhancement. 498-510
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