Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
November 30, 2021International Journal of Environment and GeoinformaticsOpen Access

Comparison of YOLO Versions for Object Detection from Aerial Images

View Full Paper
Ask AI
Bookmark
Share

Authors

MAMuhammed Enes AtikIstanbul Technical UniversityZDZaide DuranIstanbul Technical UniversityRÖRoni ÖZGÜNLÜK

Discussion

Loading...

Member takes

Implication

Key Points

Key points are not available for this paper at this time.

Cite This Study

Atik et al. (2021) studied this question.

synapsesocial.com/papers/6aa81fc8b5ec84ba9b310fabhttps://doi.org/10.30897/ijegeo.1010741
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1NO Need to Worry about Adversarial Examples in Object Detection in Autonomous Vehicles2017 · 202 citations
  2. 2Machine Learning-Based Supervised Classification of Point Clouds Using Multiscale Geometric Features2021 · 69 citations
  3. 3R-FCN: Object Detection via Region-based Fully Convolutional Networks2016 · 3,426 citations
  4. 4An Improved YOLOv2 for Vehicle Detection2018 · 223 citations