Pattern Recognition

Papers
(The H4-Index of Pattern Recognition is 72. 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 2020-06-01 to 2024-06-01.)
ArticleCitations
U2-Net: Going deeper with nested U-structure for salient object detection1006
Sensor-based and vision-based human activity recognition: A comprehensive survey291
Binary neural networks: A survey283
Hypergraph convolution and hypergraph attention239
Unsupervised domain adaptive re-identification: Theory and practice233
Reconstruction by inpainting for visual anomaly detection231
Understanding adversarial attacks on deep learning based medical image analysis systems228
A review of methods for imbalanced multi-label classification167
Cross-modality deep feature learning for brain tumor segmentation167
Knowledge base graph embedding module design for Visual question answering model163
Hierarchical dense recursive network for image super-resolution161
Explainable deep learning for efficient and robust pattern recognition: A survey of recent developments157
Deep support vector machine for hyperspectral image classification154
Feature selection using bare-bones particle swarm optimization with mutual information142
LCU-Net: A novel low-cost U-Net for environmental microorganism image segmentation140
3D Object Detection for Autonomous Driving: A Survey136
MetaCOVID: A Siamese neural network framework with contrastive loss for n-shot diagnosis of COVID-19 patients134
Automatic COVID-19 lung infected region segmentation and measurement using CT-scans images132
A Comprehensive Survey of Image Augmentation Techniques for Deep Learning131
Action Transformer: A self-attention model for short-time pose-based human action recognition129
Handling incomplete heterogeneous data using VAEs127
Random vector functional link neural network based ensemble deep learning126
Deep co-training for semi-supervised image segmentation125
An effective CNN and Transformer complementary network for medical image segmentation123
Visual place recognition: A survey from deep learning perspective122
Neighborhood linear discriminant analysis119
Financial time series forecasting with multi-modality graph neural network117
Automatically discriminating and localizing COVID-19 from community-acquired pneumonia on chest X-rays117
A CenterNet++ model for ship detection in SAR images117
GasHis-Transformer: A multi-scale visual transformer approach for gastric histopathological image detection116
Uncertainty estimation for stereo matching based on evidential deep learning115
Momentum contrastive learning for few-shot COVID-19 diagnosis from chest CT images112
Pruning by explaining: A novel criterion for deep neural network pruning111
Multi-stage image denoising with the wavelet transform106
Video anomaly detection with spatio-temporal dissociation103
Edge computing enabled video segmentation for real-time traffic monitoring in internet of vehicles102
Point attention network for semantic segmentation of 3D point clouds102
A review of lane detection methods based on deep learning101
Image denoising using complex-valued deep CNN101
Deep neural networks-based relevant latent representation learning for hyperspectral image classification100
Multi-view subspace clustering via simultaneously learning the representation tensor and affinity matrix100
Structured graph learning for clustering and semi-supervised classification99
BLOCK-DBSCAN: Fast clustering for large scale data99
Radial-Based Undersampling for imbalanced data classification98
AutoPruner: An end-to-end trainable filter pruning method for efficient deep model inference97
Learning attention-guided pyramidal features for few-shot fine-grained recognition95
Multistage attention network for image inpainting95
CAGNet: Content-Aware Guidance for Salient Object Detection92
A reduced universum twin support vector machine for class imbalance learning91
MetaMed: Few-shot medical image classification using gradient-based meta-learning90
Weakly Supervised Segmentation of COVID19 Infection with Scribble Annotation on CT Images89
A novel hybrid approach for crack detection86
TPM: Multiple object tracking with tracklet-plane matching85
MASTER: Multi-aspect non-local network for scene text recognition83
A comprehensive survey of multi-view video summarization83
Hyper-sausage coverage function neuron model and learning algorithm for image classification82
Towards automatic threat detection: A survey of advances of deep learning within X-ray security imaging82
HCFNN: High-order coverage function neural network for image classification81
Nonlocal patch similarity based heterogeneous remote sensing change detection81
A two-stage hybrid ant colony optimization for high-dimensional feature selection80
A polarization fusion network with geometric feature embedding for SAR ship classification80
Robust deepk-means: An effective and simple method for data clustering78
Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images76
DMT: Dynamic mutual training for semi-supervised learning75
Optical flow and scene flow estimation: A survey75
Improving the accuracy of global forecasting models using time series data augmentation75
Feature selection with kernelized multi-class support vector machine75
Multi-camera multi-player tracking with deep player identification in sports video74
Robust semi-supervised nonnegative matrix factorization for image clustering73
Tackling mode collapse in multi-generator GANs with orthogonal vectors73
Spatiotemporal consistency-enhanced network for video anomaly detection72
Accurate, data-efficient, unconstrained text recognition with convolutional neural networks72
Density peaks clustering based on density backbone and fuzzy neighborhood72
Identity-aware CycleGAN for face photo-sketch synthesis and recognition72
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