Editorial Board
Locality preserving projection with symmetric graph embedding for unsupervised dimensionality reduction
Incremental Learning from Low-labelled Stream Data in Open-Set Video Face Recognition
Deep rank hashing network for cancellable face identification
Multi-scale attention-based pseudo-3D convolution neural network for Alzheimer’s disease diagnosis using structural MRI
Artificial life for segmentation of fusion ultrasound images of breast abnormalities
Multi-feature deep information bottleneck network for breast cancer classification in contrast enhanced spectral mammography
Symbolic sequence representation with Markovian state optimization
Using global information to refine local patterns for texture representation and classification
Self-guided information for few-shot classification
Fast algorithms for incremental and decremental semi-supervised discriminant analysis
Complementarity-aware cross-modal feature fusion network for RGB-T semantic segmentation
Learning deep morphological networks with neural architecture search
Dimension-aware attention for efficient mobile networks
High-order conditional mutual information maximization for dealing with high-order dependencies in feature selection
Multi-layer manifold learning for deep non-negative matrix factorization-based multi-view clustering
Efficient federated multi-view learning
Covid-MANet: Multi-task attention network for explainable diagnosis and severity assessment of COVID-19 from CXR images
Multi-granularity episodic contrastive learning for few-shot learning
A novel way to formalize stable graph cores by using matching-graphs
Cyclical Adversarial Attack Pierces Black-box Deep Neural Networks
Inter-Attribute awareness for pedestrian attribute recognition
Online Adaptive Kernel Learning with Random Features for Large-scale Nonlinear Classification
A novel explainable neural network for Alzheimer’s disease diagnosis
SO-softmax loss for discriminable embedding learning in CNNs
Multivariate multi-layer classifier
Cross-modal prototype learning for zero-shot handwritten character recognition
2PESNet: Towards online processing of temporal action localization
Spatial feature mapping for 6DoF object pose estimation
YOLO-Anti: YOLO-based counterattack model for unseen congested object detection
Multiple-solutions RANSAC for finding axes of symmetry in fragments of objects
DSLA: Dynamic smooth label assignment for efficient anchor-free object detection
Improving deep learning on point cloud by maximizing mutual information across layers
Cubic-cross convolutional attention and count prior embedding for smoke segmentation
Effective full-scale detection for salient object based on condensing-and-filtering network
Iterative structure transformation and conditional random field based method for unsupervised multimodal change detection
Discovering unknowns: Context-enhanced anomaly detection for curiosity-driven autonomous underwater exploration
Video summarization with a convolutional attentive adversarial network
Cross-view panorama image synthesis with progressive attention GANs
DFR-ST: Discriminative feature representation with spatio-temporal cues for vehicle re-identification
Rethinking interactive image segmentation: Feature space annotation
Adaptive weighted guided image filtering for depth enhancement in shape-from-focus
Wasserstein approximate bayesian computation for visual tracking
Hiding multiple images into a single image via joint compressive autoencoders
To Actively Initialize Active Learning
Semi-supervised partial multi-label classification via consistency learning
Temporal feature enhancement network with external memory for live-stream video object detection
HCFNN: High-order coverage function neural network for image classification
A modified interval type-2 Takagi-Sugeno fuzzy neural network and its convergence analysis
Clustering experience replay for the effective exploitation in reinforcement learning
Shedding light on images: Multi-level image brightness enhancement guided by arbitrary references
Comprehensive-perception dynamic reasoning for visual question answering
Alleviating the estimation bias of deep deterministic policy gradient via co-regularization
H-ProMed: Ultrasound image segmentation based on the evolutionary neural network and an improved principal curve
Adaptive aggregation-distillation autoencoder for unsupervised anomaly detection
Reconstruction of fragmented trajectories of collective motion using Hadamard deep autoencoders
BRULÈ: Barycenter-Regularized Unsupervised Landmark Extraction
Exploiting key points supervision and grouped feature fusion for multiview pedestrian detection
Heterogeneous representation learning and matching for few-shot relation prediction
Data-attention-YOLO (DAY): A comprehensive framework for mesoscale eddy identification
Practical protection against video data leakage via universal adversarial head
DARTSRepair: Core-failure-set guided DARTS for network robustness to common corruptions
Multi-View correlation distillation for incremental object detection
On the role of question encoder sequence model in robust visual question answering
A survey of robust adversarial training in pattern recognition: Fundamental, theory, and methodologies
An entity-weights-based convolutional neural network for large-sale complex knowledge embedding
A novel part-level feature extraction method for fine-grained vehicle recognition
