Academic Publication Research on object detection and recognition in remote sensing images based on YOLOv11
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Research on object detection and recognition in remote sensing images based on YOLOv11
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SOD-YOLO: Small-Object-Detection Algorithm Based on Improved YOLOv8 for UAV Images
The rapid development of unmanned aerial vehicle (UAV) technology has contributed to the increasing sophistication of UAV-based object-detection systems, which are now extensively utilized in civil...
YOLO-CAB: An Efficient Deep Learning-Based Underwater Object Detection Method for Autonomous Underwater Vehicles
High-precision environmental perception is essential for deep-sea exploration and autonomous underwater vehicle operations. However, physical factors such as light scattering and selective absorpti...
The YOLO Framework: A Comprehensive Review of Evolution, Applications, and Benchmarks in Object Detection
This paper provides a comprehensive review of the YOLO (You Only Look Once) framework up to its latest version, YOLO 11. As a state-of-the-art model for object detection, YOLO has revolutionized th...
YOLOv8n-FEL: A Lightweight Visual Detector with a Progressive Compress-Then-Enhance Architecture for Autonomous Driving
Real-time visual object detection on resource-constrained in-vehicle platforms requires a practical balance among detection accuracy, model size, computational complexity, and inference speed. Exis...
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Are there open-source GitHub repositories related to Research on object detection and recognition in remote sensing images based on YOLOv11?
Yes, open-source projects like karpathy/autoresearch (AI agents running research on single-GPU nanochat training automatically) are actively building upon these concepts.
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Products like Perplexity API Platform are bringing this to market. Their focus is: Power your products with web-wide research, Q&A capabilities.
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GitHubkarpathy/autoresearch
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GitHubwanshuiyin/Auto-claude-code-research-in-sleep
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