Latest Research in Computer Vision and Pattern Recognition

6 research papers · 2026 median publication year

Top Research Topics in Computer Vision and Pattern Recognition

Highest-Cited Papers

  1. CDMS-YOLO: An Enhanced YOLOv11 Model with Gated Channel Attention and Dynamic Multiscale Optimization for Coffee Leaf Disease and Pest Detection
  2. MCLC-NET: Multimodal Continual Learning for Leaf Counting
  3. WSD-YOLO: A lightweight YOLO-based model with enhanced feature representation for maize pest detection
  4. ReSynDet: A Generate–Assess–Train Framework for Reliable Use of Synthetic Images in Data-Scarce Brassica chinensis Object Detection
  5. Benchmarking deep vision architectures for fruit-tree sapling bark classification on SapBark-64
  6. PEFF-Net: A Lightweight Pest Edge Feature Fusion Network for Real-Time Rice Pest Detection Towards Edge Deployment
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L3 Region - - 2026 Sep Q3
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