A Comparative Study of Sentence Embedding Models for Assessing Semantic Variation
A Deep Learning based Method for Generating Holographic Acoustic Fields from Phased Transducer Arrays
A Depth-guided Attention Strategy for Crowd Counting
A Noise Convolution Network for Tampering Detection
Attention-based Feature Interaction Deep Factorization Machine for CTR Prediction
Block-level Stiffness Analysis of Residual Networks
CKNA: Kernel Hyperparameters Optimization Method for Group-wise CNNs
Conditional Convolution Residual Network for Efficient Super-Resolution
Cross Attention with Deep Local Features for Few-shot Image Classification
Deep Video Compression Based on 3D Convolution Artifacts Removal and Attention Compression Module
Deep-learning Based Three Channel Defocused Projection Profilometry
Depthwise Convolution with Channel Mixer: Rethinking MLP in MetaFormer for Faster and More Accurate Vehicle Detection
DLUIO: Detecting Useful Investor Opinions by Deep Learning
Dynamic obstacle avoidance for unmanned aerial vehicle using dynamic vision sensor
Empirical Study on the Effect of Residual Networks on the Expressiveness of Linear Regions
Energy Complexity Model for Convolutional Neural Networks
Enhancing the Interpretability of Deep Multi-Agent Reinforcement Learning via Neural Logic Reasoning
Evidential Robust Deep Learning for Noisy Text2text Question Classification
FBPFormer: Dynamic Convolutional Transformer for Global-Local-Contexual Facial Beauty Prediction
Heavy-Tailed Regularization of Weight Matrices in Deep Neural Networks
Interaction of Generalization and Out-of-Distribution Detection Capabilities in Deep Neural Networks
Long-distance Pipeline Intrusion Warning Based on Environment Embedding From Distributed Optical Fiber Sensing
LSA3D: Lightweight Separate Asynchronous 3D Convolutional Neural Network for Gait Recognition
MADNet: EEG-based Depression Detection using a Deep Convolution Neural Network Framework with Multi-dimensional Attention
Maintenance automation using deep learning methods a case study from the aerospace industry
MCASleepNet: Multimodal channel attention-based deep neural network for automatic sleep staging
Multi-label Image Deep Hashing with Hybrid Loss of Global Center and Local Alignment
Multi-relation Representation Learning based Deep Network for Patent Classification
One Hip Wonder: 1D-CNNs Reduce Sensor Requirements for Everyday Gait Analysis
Patches Channel Attention For Human Sitting Posture Recognition
RA-Net: A Deep Learning Approach based on Residual Structure and Attention Mechanism for Image Copy-move Forgery Detection
Rethinking CNN Architectures in Transformer Detectors
Robustness of Biologically-inspired filter-based ConvNet to Signal Perturbation
Self-Supervised Graph Convolution for Video Moment Retrieval
Siamese Network based on MLP and Multi-head Cross Attention for Visual Object Tracking
Taper Residual Dense Network for Audio Super-Resolution
VPNDroid: Malicious Android VPN detection using a CNN-RF method
Who breaks early, looses: goal oriented training of deep neural networks based on port Hamiltonian dynamics
BLR:A multi-modal sentiment analysis model
Detecting Negative Sentiment on Sarcastic Tweets for Sentiment Analysis
Local or Global: The Variation in the Encoding of Style Across Sentiment and Formality
Prompt-oriented Fine-tuning Dual Bert for Aspect-Based Sentiment Analysis
Towards Energy-Efficient Sentiment Classification with Spiking Neural Networks
Using Masked Language Modeling to Enhance BERT-based Aspect-Based Sentiment Analysis for Affective Token Prediction.