Applications
A Comparative Analysis of Loss Functions for Handling Foreground-Background Imbalance in Image Segmentation
Electron Microscopy Image Registration with Transformers
Deps-SAN: Neural Machine Translation with Dependency-Scaled Self-Attention Network
A Measurement-Based Quantum-Like Language Model for Text Matching
Virtual Try-On via Matching Relation with Landmark
WINMLP:Quantum&Involution Inspire False Positive Reduction In Lung Nodule Detection
Incorporating Generation Method and Discourse Structure to Event Coreference Resolution
CCN: Pavement Crack Detection With Context Contrasted Net
Spatial and Temporal Guidance for Semi-supervised Video Object Segmentation
A Hybrid Framework based on Classifier Calibration for Imbalanced Aerial Scene Recognition
Enhancing BERT for Short Text Classification with Latent Information
Unsupervised Anomaly Segmentation for Brain Lesions using Dual Semantic-Manifold Reconstruction
Transformer Based High-frequency Predictive Model for Visual-haptic Feedback of Virtual Surgery Navigation
Hierarchical Multimodal Attention Network Based on Semantically Textual Guidance for Video Captioning
Autism Spectrum Disorder Classification of Facial Images using Xception Model and Transfer Learning with Image Augmentation
A Comprehensive Vision-based Model for Commercial Truck Driver Fatigue Detection
Automatic Identification of Class Level Refactoring using Abstract Syntax Tree and Embedding Technique
Universal Distributional Decision-based Black-box Adversarial Attack with Reinforcement Learning
Detecting and Mitigating Backdoor Attacks with Dynamic and Invisible Triggers
NAS-StegNet: Lightweight Image Steganography Networks via Neural Architecture Search
FIT: Frequency-based Image Translation for Domain Adaptive Object Detection
Single Image Dehazing Using Frequency Attention
A Recurrent Point Clouds Selection Method for 3D Dense Captioning
Multi-domain Feature Fusion Neural Network for Electrocardiogram Classification
Graph-based Contextual Attention Network for Single Image Deraining
ADTR: Anomaly Detection Transformer with Feature Reconstruction
SCIEnt: A Semantic-feature-based Framework for Core Information Extraction from Web Pages
Hierarchical down-sampling based ultra high-resolution image inpainting
Vision Transformer With Depth Auxiliary Information For Face Anti-spoofing
Dynamically Connected Graph Representation For Object Detection
Multi-Class Anomaly Detection
Understanding Graph and Understanding Map and their Potential Applications
BBSN: Bilateral-Branch Siamese Network for Imbalanced Multi-label Text Classification
Deep Hierarchical Semantic Model for Text Matching
Multimodal Neural Network For Demand Forecasting
Image Super-Resolution Based on Adaptive Feature Fusion Channel Attention
SGFuion:Camera-LiDAR Semantic and Geometric Fusion for 3D Object Detection
SATNet: Captioning with Semantic Alignment and Feature Enhancement
Halyomorpha Halys Detection Using Efficient Neural Networks
HPointLoc: Point-based Indoor Place Recognition using Synthetic RGB-D Images
In Situ Augmentation for Defending Against Adversarial Attacks on Text Classifiers
Relation-guided Dual Hash Network for Unsupervised Cross-Modal Retrieval
Prompt-Based Learning for Aspect-Level Sentiment Classification
Multi-Knowledge Embeddings Enhanced Topic Modeling for Short Texts
Adaptive early classification of time series using deep learning
Introducing Multi-modality in Persuasive Task Oriented Virtual Sales Agent
Low Dose CT Image Denoising Using Efficient Transformer With SimpleGate Mechanism
iResSENet: An Accurate Convolutional Neural Network for Retinal Blood Vessel Segmentation
Evolutionary Action Selection for Gradient-based Policy Learning
Building Conversational Diagnosis Systems for Fine-grained Diseases using Few Annotated Data
Towards Improving EEG-based Intent Recognition in Visual Search Tasks
RVFL Classifier based Ensemble Deep Learning for Early Diagnosis of Alzheimers Disease
Anatomical Landmarks Localization for 3D Foot Point Clouds
Impact of the composition of feature extraction and class sampling in medicare fraud detection
A Hybrid Feature Selection Approach for Data Clustering Based on Ant Colony Optimization
FaceMix: Transferring local regions for data augmentation in face recognition
Permissioned Blockchain-based XGBoost for Multi Banks Fraud Detection
Rethinking Image Inpainting with Attention Feature Fusion
Towards Accurate Alignment and Sufficient Context in Scene Text Recognition.