ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2412.05728
  4. Cited By
Integrating YOLO11 and Convolution Block Attention Module for
  Multi-Season Segmentation of Tree Trunks and Branches in Commercial Apple
  Orchards

Integrating YOLO11 and Convolution Block Attention Module for Multi-Season Segmentation of Tree Trunks and Branches in Commercial Apple Orchards

7 December 2024
Ranjan Sapkota
Manoj Karkee
ArXiv (abs)PDFHTML

Papers citing "Integrating YOLO11 and Convolution Block Attention Module for Multi-Season Segmentation of Tree Trunks and Branches in Commercial Apple Orchards"

2 / 2 papers shown
Title
Improved YOLOv12 with LLM-Generated Synthetic Data for Enhanced Apple Detection and Benchmarking Against YOLOv11 and YOLOv10
Improved YOLOv12 with LLM-Generated Synthetic Data for Enhanced Apple Detection and Benchmarking Against YOLOv11 and YOLOv10
Ranjan Sapkota
Manoj Karkee
95
5
0
26 Feb 2025
Zero-Shot Automatic Annotation and Instance Segmentation using LLM-Generated Datasets: Eliminating Field Imaging and Manual Annotation for Deep Learning Model Development
Ranjan Sapkota
Achyut Paudel
Manoj Karkee
SyDa
188
6
0
18 Nov 2024
1