ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2506.00154
  4. Cited By
Detection of Endangered Deer Species Using UAV Imagery: A Comparative Study Between Efficient Deep Learning Approaches

Detection of Endangered Deer Species Using UAV Imagery: A Comparative Study Between Efficient Deep Learning Approaches

International Conference on Unmanned Aircraft Systems (ICUAS), 2025
30 May 2025
Agustín Roca
Gastón Castro
Gabriel Torre
Leonardo J. Colombo
Ignacio Mas
Javier Pereira
Juan Giribet
ArXiv (abs)PDFHTML

Papers citing "Detection of Endangered Deer Species Using UAV Imagery: A Comparative Study Between Efficient Deep Learning Approaches"

1 / 1 papers shown
A Comprehensive Evaluation of YOLO-based Deer Detection Performance on Edge Devices
A Comprehensive Evaluation of YOLO-based Deer Detection Performance on Edge Devices
Bishal Adhikari
Jiajia Li
Eric S. Michel
Jacob Dykes
Te-Ming Paul Tseng
Mary Love Tagert
Dong Chen
201
0
0
24 Sep 2025
1
Page 1 of 1