A Shallow Information Enhanced Efficient Small Object Detector based on YOLOv5
Adaptive Dehazing YOLO for Object Detection
Adaptive Training Strategies for Small Object Detection using Anchor-based Detectors
Automatic Driving Scenarios: A Cross-Domain Approach for Object Detection
Dual Attention Feature Fusion for Visible-Infrared Object Detection
Feature Sniffer: A Stealthy Inference Attacks Framework on Split Learning
Few-Shot Object Detection via Transfer Learning and Contrastive Reweighting
GaitFusion: Exploring the fusion of silhouettes and optical flow for gait recognition
Gradient Adjusted and Weight Rectified Mean Teacher for Source-free Object Detection
IMAM: Incorporating multiple attention mechanisms for 3D Object Detection from Point Cloud
LGF2: Local and Global Feature Fusion for Text-guided Object Detection
MLF-DET: Multi-Level Fusion for Cross-Modal 3D Object Detection
Object Detection in Foggy Images with Transmission Map Guidance
PE-YOLO: Pyramid Enhancement Network for Dark Object Detection
Region Feature Disentanglement for Domain Adaptive Object Detection
ROFusion: Efficient Object Detection using Hybrid Point-wise Radar-Optical Fusion
SDGC-YOLOv5: A more accurate model for small object detection
The Statistical Characteristics of P3a and P3b Subcomponents in Electroencephalography Signals
Transforming Limitations into Advantages: Improving Small Object Detection Accuracy with SC-AttentionIoU Loss Function
Visual-Haptic-Kinesthetic Object Recognition with Multimodal Transformer
X-shape Feature Expansion Network for Salient Object Detection in Optical Remote Sensing Images
Aggregate Distillation For Top-K Recommender System
Candidate-Aware Dynamic Representation for News Recommendation
Category Enhanced Dual View Contrastive Learning for Session-based Recommendation
Electronic Medical Record Recommendation System Based on Deep Embedding Learning with Named Entity Recognition
Incremental Recommendation Algorithm based on the Influence Propagation Model
Scenic Spot Recommendation Method Integrating Knowledge Graph And Distance Cost
A Unified Video Semantics Extraction and Noise Object Suppression Network for Video Saliency Detection
Adaptive Token Excitation With Negative Selection For Video-Text Retrieval
Boosting Video Super Resolution with Patch-Based Temporal Redundancy Optimization
Bring the Noise: Introducing Noise Robustness to Pretrained Automatic Speech Recognition
Correction while Recognition: Combining Pretrained Language Model for Taiwan-accented Speech Recognition
Cross-Camera Prototype Learning for Intra-Camera Supervised Person Re-Identification
ECDet: A Real-time Vehicle Detection Network for CPU-only Devices
Gated Multi-Modal Fusion with Cross-Modal Contrastive Learning for Video Question Answering
Learning Video Localization on Segment-Level Video Copy Detection with Transformer
Linear Transformer-GAN: A Novel Architecture to Symbolic Music Generation
MBMS-GAN: Multi-Band Multi-Scale Adversarial Learning for Enhancement of Coded Speech at Very Low Rate
OWS-Seg: online weakly supervised video instance segmentation via contrastive learning
Replay to Remember: Continual Layer-Specific Fine-tuning for German Speech Recognition
Self-Supervised Video Object Segmentation Using Motion Feature Compensation
Space-Time Video Super-Resolution Based on Long-Term Time Dependence.