R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object | Zendy

Xue Yang | Zendy; Junchi Yan | Zendy; ZiMing Feng | Zendy; Tao He | Zendy

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R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object

Author(s) -

Xue Yang,

Junchi Yan,

ZiMing Feng,

Tao He

Publication year - 2021

Publication title -

proceedings of the aaai conference on artificial intelligence

Language(s) - English

Resource type - Journals

eISSN - 2374-3468

pISSN - 2159-5399

DOI - 10.1609/aaai.v35i4.16426

Subject(s) - computer science , feature (linguistics) , minimum bounding box , benchmark (surveying) , rotation (mathematics) , detector , source code , artificial intelligence , code (set theory) , interpolation (computer graphics) , position (finance) , object detection , object (grammar) , bounding overwatch , feature extraction , granularity , pattern recognition (psychology) , computer vision , image (mathematics) , set (abstract data type) , telecommunications , philosophy , linguistics , geodesy , finance , economics , programming language , geography , operating system

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