Detecting human heads in dense, real-world environments—like subway platforms, concerts, or retail stores—is a surprisingly tough problem in computer vision.…
Object Detection
PytorchInsight: Boost CNN Performance with Lightweight, Plug-and-Play Attention Modules for Vision Tasks 871
PytorchInsight is a practical, research-oriented PyTorch library designed to accelerate deep learning development—especially for computer vision practitioners who need reliable,…
SARDet-100K: The First COCO-Scale Open Benchmark for Multi-Class SAR Object Detection 660
Synthetic Aperture Radar (SAR) imaging offers a unique advantage: it works reliably in all weather conditions, day or night, making…
YOLOv13: Boost Real-Time Object Detection Accuracy Without Sacrificing Speed or Efficiency 827
For engineers, researchers, and product teams building real-time vision systems—whether for surveillance cameras, autonomous drones, or mobile apps—achieving high detection…
DocLayout-YOLO: Real-Time, High-Accuracy Document Layout Detection Without the Speed-Accuracy Trade-Off 1870
Document layout analysis (DLA) is a foundational task in building real-world document understanding systems—whether you’re extracting structured data from invoices,…
RFBNet: High-Accuracy, Real-Time Object Detection Without Heavy Backbones 1422
When building real-world computer vision systems—whether for autonomous drones, industrial inspection, or mobile apps—one of the toughest trade-offs is between…
GCNet: Boost Vision Models with Lightweight Global Context for Better Accuracy and Efficiency 1217
If you’ve worked on computer vision tasks like object detection or instance segmentation, you’ve likely encountered the challenge of modeling…
VMamba: A Linear-Time Vision Backbone for High-Resolution, Scalable Computer Vision Tasks 2969
In the rapidly evolving landscape of computer vision, model efficiency and scalability are no longer optional—they’re essential. Enter VMamba, a…
MambaVision: Achieve SOTA Image Classification & Downstream Vision Tasks with Hybrid Mamba-Transformer Efficiency 1946
If you’re building computer vision systems that demand both high accuracy and real-world efficiency—without getting bogged down in architectural complexity—MambaVision…
YOLOv6: Real-Time Object Detection Optimized for Speed, Accuracy, and Industrial Deployment 5869
YOLOv6 is a high-performance, single-stage object detection framework developed by Meituan with a strong emphasis on real-world industrial applications. Unlike…