WE3.L7.1
TRI-AXIAL SCALING IN AERIAL OBJECT DETECTION: MODEL SIZE, DATASET SIZE AND QUALITY, AND TEST-TIME INFERENCE IN THE CADOT CHALLENGE
Yi Jie Wong, Jing Jie Tan, Mau-Luen Tham, Ban-Hoe Kwan, Yan Chai Hum, Universiti Tunku Abdul Rahman, Malaysia
Session:
WE3.L7: Cityscape Aerial Image Dataset for Object Detection Lecture
Track:
Challenge Sessions
Location:
Dena'ina: Tubughnenq 5
Presentation Time:
Wed, 17 Sep, 10:00 - 11:30 Anchorage Time (UTC -8)
Session Chair:
Anissa Mokraoui, Université Sorbonne Paris Nord, L2TI
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Session WE3.L7
WE3.L7.1: TRI-AXIAL SCALING IN AERIAL OBJECT DETECTION: MODEL SIZE, DATASET SIZE AND QUALITY, AND TEST-TIME INFERENCE IN THE CADOT CHALLENGE
Yi Jie Wong, Jing Jie Tan, Mau-Luen Tham, Ban-Hoe Kwan, Yan Chai Hum, Universiti Tunku Abdul Rahman, Malaysia
WE3.L7.2: Enhanced Object Detection on Aerial Cityscapes via Augmentation and YOLO Variants
Vu Minh Hieu, The Son Phan, Trong Duc Nguyen, VNU University of Science, Viet Nam; Duc Tien Du, National Center for Hydro-Meteorological Forecasting, Hanoi, Vietnam, Viet Nam; Thanh Ha Do, Posts and Telecommunications Institute of Technology, Hanoi, Vietnam, Viet Nam
Contacts