Latest Research in Computer Vision Perception

Top Research Topics in Computer Vision Perception

• Computer Vision and Pattern Recognition — 182 papers
• Advanced Neural Network Applications — 91 papers
• Smart Agriculture and AI — 76 papers
• Image Enhancement Techniques — 16 papers
• Handwritten Text Recognition Techniques — 14 papers
• Robotics — 13 papers
• Computation and Language — 12 papers
• Video Surveillance and Tracking Methods — 11 papers
• Infrared Target Detection Methodologies — 10 papers
• Hand Gesture Recognition Systems — 9 papers

Highest-Cited Papers

1. A comparative evaluation of deep learning architectures, loss functions, and ensemble strategies for underwater fish species classification
2. A Comprehensive Review of SLR Systems: Challenges, Datasets, and Unresolved Gaps
3. A cloud-integrated deep learning system for weed detection using Jetson Nano
4. PSG-RTDETR: Towards Stable Cross-Scale Feature Fusion for Small Object Detection
5. YOLOv8-EMA-P2: An Enhanced Deep Learning Framework for Wheat Grain Detection and Counting from Single-Spike Images
6. AS-YOLOR: An Improved YOLO Model for Small Object Detection in Aerial Images
7. High-precision and low-latency object detection with recursive dual-path encoding for event camera
8. Lightweight Multispectral Detection and DEM-Constrained Ray Consistency Localization for UAV-Assisted Search and Rescue
9. A learning-dynamics-driven framework for robust small-object detection in complex field environments: YOLOv11l-AGRI-EMA framework
10. FruitDet: A Multi-Module Lightweight Detector for Young Apple Fruits Under Day–Night Orchard Conditions
11. Detecting LED Colors from Underwater Video Images for Visible Light Communication in a Fish Farm Monitoring System
12. A two-stage deep learning framework for oil palm fresh fruit bunch ripeness classification toward predictive harvesting in precision agriculture
13. PRISM-MTL: Inter-Modal Selective Multi-Task Learning for Assistive Driving Perception
14. Research on drone positioning technology based on intelligent algorithms
15. Learning to recover weak signals: A two-stage graph-based framework for all-weather RGB-T object detection
16. An Automated Population Monitoring Framework for Larus ridibundus in Kunming City Based on Improved YOLOv8 and ByteTrack
17. TMAF-YOLO: A Lightweight Model for In Situ Detection of Tomato Maturity and Defective Fruits in Greenhouses
18. Explainable lightweight deep learning architectures for crop anomaly detection using enhanced Grad-CAM and transfer learning
19. A Non-Destructive Acoustic Tapping System with Deep Learning for Pineapple Juiciness Classification in Postharvest Quality Assessment
20. Edge-Oriented Lightweight YOLO-World with Cross-Modal Fusion Adaptation for Multimodal Object Detection and Deployment

Sub-Regions

• Computer Vision and Pattern Recognition — 387 papers
• Advanced Neural Network Applications — 131 papers
• Smart Agriculture and AI — 99 papers
• Animal Behavior and Welfare Studies — 78 papers
• Computation and Language — 65 papers
• Energy Load and Power Forecasting — 38 papers