Pattern Recognition

Papers
(The H4-Index of Pattern Recognition is 76. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
Sensor-based and vision-based human activity recognition: A comprehensive survey330
Hypergraph convolution and hypergraph attention299
Reconstruction by inpainting for visual anomaly detection288
Understanding adversarial attacks on deep learning based medical image analysis systems269
A review of methods for imbalanced multi-label classification203
A Comprehensive Survey of Image Augmentation Techniques for Deep Learning190
An effective CNN and Transformer complementary network for medical image segmentation189
Explainable deep learning for efficient and robust pattern recognition: A survey of recent developments186
Cross-modality deep feature learning for brain tumor segmentation183
3D Object Detection for Autonomous Driving: A Survey182
Hierarchical dense recursive network for image super-resolution176
Knowledge base graph embedding module design for Visual question answering model174
Feature selection using bare-bones particle swarm optimization with mutual information168
Financial time series forecasting with multi-modality graph neural network151
Random vector functional link neural network based ensemble deep learning151
LCU-Net: A novel low-cost U-Net for environmental microorganism image segmentation149
MetaCOVID: A Siamese neural network framework with contrastive loss for n-shot diagnosis of COVID-19 patients147
Visual place recognition: A survey from deep learning perspective144
Action Transformer: A self-attention model for short-time pose-based human action recognition143
Handling incomplete heterogeneous data using VAEs140
Multi-stage image denoising with the wavelet transform139
Automatic COVID-19 lung infected region segmentation and measurement using CT-scans images138
GasHis-Transformer: A multi-scale visual transformer approach for gastric histopathological image detection137
Deep co-training for semi-supervised image segmentation135
Neighborhood linear discriminant analysis133
A CenterNet++ model for ship detection in SAR images133
Pruning by explaining: A novel criterion for deep neural network pruning132
Automatically discriminating and localizing COVID-19 from community-acquired pneumonia on chest X-rays126
Uncertainty estimation for stereo matching based on evidential deep learning122
Video anomaly detection with spatio-temporal dissociation121
Learning attention-guided pyramidal features for few-shot fine-grained recognition120
Momentum contrastive learning for few-shot COVID-19 diagnosis from chest CT images120
Point attention network for semantic segmentation of 3D point clouds118
Deep neural networks-based relevant latent representation learning for hyperspectral image classification117
A review of lane detection methods based on deep learning115
Edge computing enabled video segmentation for real-time traffic monitoring in internet of vehicles114
BLOCK-DBSCAN: Fast clustering for large scale data113
Image denoising using complex-valued deep CNN111
Structured graph learning for clustering and semi-supervised classification110
MetaMed: Few-shot medical image classification using gradient-based meta-learning106
A novel hybrid approach for crack detection104
Weakly Supervised Segmentation of COVID19 Infection with Scribble Annotation on CT Images103
AutoPruner: An end-to-end trainable filter pruning method for efficient deep model inference103
Hyper-sausage coverage function neuron model and learning algorithm for image classification100
Optical flow and scene flow estimation: A survey99
DMT: Dynamic mutual training for semi-supervised learning97
A two-stage hybrid ant colony optimization for high-dimensional feature selection96
HCFNN: High-order coverage function neural network for image classification96
A comprehensive survey of multi-view video summarization94
TPM: Multiple object tracking with tracklet-plane matching94
MASTER: Multi-aspect non-local network for scene text recognition94
Nonlocal patch similarity based heterogeneous remote sensing change detection93
Fast Camouflaged Object Detection via Edge-based Reversible Re-calibration Network91
A polarization fusion network with geometric feature embedding for SAR ship classification91
mSODANet: A network for multi-scale object detection in aerial images using hierarchical dilated convolutions90
Blitz-SLAM: A semantic SLAM in dynamic environments90
Towards automatic threat detection: A survey of advances of deep learning within X-ray security imaging90
Spatiotemporal consistency-enhanced network for video anomaly detection89
Robust deepk-means: An effective and simple method for data clustering89
Tackling mode collapse in multi-generator GANs with orthogonal vectors87
Improving the accuracy of global forecasting models using time series data augmentation85
Feature selection with kernelized multi-class support vector machine84
Two-step domain adaptation for underwater image enhancement84
Mean-shift outlier detection and filtering83
SARS-Net: COVID-19 detection from chest x-rays by combining graph convolutional network and convolutional neural network83
Self-restrained triplet loss for accurate masked face recognition82
CVM-Cervix: A hybrid cervical Pap-smear image classification framework using CNN, visual transformer and multilayer perceptron80
Accurate, data-efficient, unconstrained text recognition with convolutional neural networks80
HFA-Net: High frequency attention siamese network for building change detection in VHR remote sensing images80
FW-SMOTE: A feature-weighted oversampling approach for imbalanced classification79
Robust semi-supervised nonnegative matrix factorization for image clustering79
Multi-task learning for gait-based identity recognition and emotion recognition using attention enhanced temporal graph convolutional network78
Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images77
Explainable skin lesion diagnosis using taxonomies76
Towards Non-I.I.D. image classification: A dataset and baselines76
Density peaks clustering based on density backbone and fuzzy neighborhood76
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