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Fatih Cagatay Akyon

METU, Ultralytics

3 papers hereh-index 10775 citations28 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV3
affiliations
  • METU, Ultralytics
HomepageORCID 0000-0001-7098-3944

identity via Semantic Scholar / OpenAlex

most citedUltralytics YOLO26: Unified Real-Time End-to-End Vision Models

6 citations · 6 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CV2026★ 6 cited

Ultralytics YOLO26: Unified Real-Time End-to-End Vision Models

Glenn Jocher, Jing Qiu, Mengyu Liu +3

Real-time vision demands models that are accurate, efficient, and simple to deploy across diverse hardware. The YOLO family has become widely deployed for this reason, yet most YOL…

cs.CV2026

SenBen: Sensitive Scene Graphs for Explainable Content Moderation

Fatih Cagatay Akyon, Alptekin Temizel

Content moderation systems classify images as safe or unsafe but lack spatial grounding and interpretability: they cannot explain what sensitive behavior was detected, who is invol…

cs.CV2024

DroBoost: An Intelligent Score and Model Boosting Method for Drone Detection

Ogulcan Eryuksel, Kamil Anil Ozfuttu, Fatih Cagatay Akyon +4

Drone detection is a challenging object detection task where visibility conditions and quality of the images may be unfavorable, and detections might become difficult due to comple…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.